{ "id": 325095, "title": "Open Source Segmentation Projects", "url": "/competitions/geolifeclef-2022-lifeclef-2022-fgvc9/discussion/325095", "author_name": "", "post_date": "2022-05-14T20:21:22.373000", "votes": 1, "comment_count": 0, "views": 0, "content": "

'

\n

Segmentation! In this exciting and terrifying place, you will find a variety of software that is freely available to the public. This software has been created by some of the most brilliant minds in the world, and it is now yours for the taking.

\n

But be careful! Segmentation is a dangerous place, and these projects can be deadly if you're not careful.
\nSo please take a moment to read through this list, and learn about each of these amazing pieces of code.

\n

Then choose the ones that are best suited for your needs, and be prepared for an adventure like no other.

\n
\n

mit-deep-learning

\n
\n

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

\n
\n

It uses tensorflow.
\nIt has 4 notebooks

\n
\n

segmentation

\n
\n

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

\n
\n

It uses tensorflow.
\nIt has 16 python files and 21 notebooks

\n
\n

Deep-Learning-liver-segmentation

\n
\n

Application of Deep Learning to the segmentation of medical images

\n
\n

It uses tensorflow.
\nIt has 1 python file

\n
\n

Brain-tumor-segmentation-using-deep-learning

\n
\n

BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras

\n
\n

It uses tensorflow.
\nIt has 1 python file and 1 notebook

\n
\n

Deep-Residual-Unet

\n
\n

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advange of the residual learning and UNet.

\n
\n

It uses tensorflow.

\n
\n

deepflash2

\n
\n

A deep-learning pipeline for segmentation of ambiguous microscopic images.

\n
\n

It uses pytorch.
\nIt has 12 python files and 8 notebooks

\n
\n

pointnet

\n
\n

PyTorch implementation of \"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\" https://arxi.tech/pointnet

\n
\n

It uses pytorch.
\nIt has 5 python files and 1 notebook

\n
\n

UnityImageSynthesisTutorial1

\n
\n

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

\n
\n

It uses pytorch.

\n
\n

lung-cancer-detection

\n
\n

Deep learning-based segmentation and classification of lung nodules

\n
\n

It uses pytorch.
\nIt has 18 python files and 9 notebooks

\n
\n

DeepLearningDroneSimulator

\n
\n

This project is about training a deep neural network to identify and track a target in simulation so-called “follow mr. green”.

\n
\n

It uses tensorflow.
\nIt has 9 python files

\n
\n

2017Summer_Duke

\n
\n

Deep learning based semantic segmentation on satellite images

\n
\n

It uses tensorflow.

\n
\n

semantic-segmentation

\n
\n

Image semantic segmentation using deep learning

\n
\n

It uses tensorflow.
\nIt has 6 python files

\n
\n

Follow-Me

\n
\n

Deep learning architecture to help a drone target and follow people

\n
\n

It uses tensorflow.
\nIt has 9 python files

\n
\n

BMEN4460-NB3-brain_tumor_segmentation

\n
\n

Child repository of Deep-learning-with-PyTorch-and-GCP

\n
\n

It uses pytorch.

\n
\n

semantic-segmentation

\n
\n

Road classification using Deep Learning

\n
\n

It uses tensorflow.

\n
\n

Deep-learning-teaching

\n
\n

Deep learning courses for postgraduates

\n
\n

It uses tensorflow.
\nIt has 11 python files and 1 notebook

\n
\n

deep-learning-for-image-processing

\n
\n

deep learning for image processing including classification and object-detection etc.

\n
\n

It uses pytorch.
\nIt has 413 python files

\n
\n

pointnet

\n
\n

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

\n
\n

It uses tensorflow.
\nIt has 22 python files

\n
\n

MICCAI-LITS2017

\n
\n

liver segmentation using deep learning

\n
\n

It uses pytorch.
\nIt has 20 python files

\n
\n

imgclsmob

\n
\n

Sandbox for training deep learning networks

\n
\n

It uses both tensorflow and pytorch.
\nIt has 790 python files

\n
\n

Brain-tumor-segmentation

\n
\n

A deep learning based approach for brain tumor MRI segmentation.

\n
\n

It uses tensorflow.
\nIt has 6 python files

\n
\n

torch-points3d

\n
\n

Pytorch framework for doing deep learning on point clouds.

\n
\n

It uses pytorch.
\nIt has 260 python files and 13 notebooks

\n
\n

eye-in-the-sky

\n
\n

Satellite Image Classification using semantic segmentation methods in deep learning

\n
\n

It uses tensorflow.
\nIt has 6 python files

\n
\n

MedicalZooPytorch

\n
\n

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

\n
\n

It uses pytorch.

\n
\n

Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow

\n
\n

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation intowords

\n
\n

It uses tensorflow.
\nIt has 18 python files

\n
\n

VGN

\n
\n

Deep Vessel Segmentation by Learning Graphical Connectivity

\n
\n

It uses tensorflow.
\nIt has 15 python files

\n
\n

MIScnn

\n
\n

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

\n
\n

It uses tensorflow.
\nIt has 61 python files and 1 notebook

\n
\n

Deep-Learning-Based-ECG-Annotator

\n
\n

Annotation of ECG signals using deep learning, tensorflow’ Keras

\n
\n

It uses tensorflow.
\nIt has 1 python file

\n
\n

Multi-task-deep-network

\n
\n

Usage of Multi-task deep learning network for semantic segmentation in medical images

\n
\n

It uses pytorch.
\nIt has 6 python files

\n
\n

EM_Image_Segmentation

\n
\n

Deep Learning approaches for EM data

\n
\n

It uses tensorflow.
\nIt has 74 python files and 5 notebooks

\n
\n

deepdrr

\n
\n

Code for \"DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures\". https://arxiv.org/abs/1803.08606

\n
\n

It uses pytorch.
\nIt has 87 python files

\n
\n

wildcat.pytorch

\n
\n

PyTorch implementation of \"WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise L1 Loss\"

\n
\n

It uses pytorch.
\nIt has 8 python files

\n
\n

Crack-segmentation

\n
\n

This repo contains customized deep learning models for segmenting cracks.

\n
\n

It uses tensorflow.
\nIt has 7 python files

\n
\n

alfred

\n
\n

alfred-py: A deep learning utility library for human, more detail about the usage of lib to: https://zhuanlan.zhiyun.com/p/46876427

\n
\n

It uses pytorch.

\n
\n

DeepLIIF

\n
\n

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machiine Learning]

\n
\n

It uses pytorch.
\nIt has 43 python files

\n
\n

Pytorch--3D-Medical-Images-Segmentation--SALMON

\n
\n

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed bDescription:

\n
\n

It uses pytorch.
\nIt has 31 python files

\n
\n

Devnagari-Handwritten-Word-Recongition-with-Deep-Learning

\n
\n

Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation intocharacters

\n
\n

It uses tensorflow.
\nIt has 4 python files

\n
\n

lidar-deep-segmentation

\n
\n

Semantic segmentation deep learning for aerial, high density Lidar point clouds.

\n
\n

It uses pytorch.
\nIt has 18 python files and 1 notebook

\n
\n

DeepViewAgg

\n
\n

PyTorch implementation of the method presented in \"Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation\"

\n
\n

It uses pytorch.
\nIt has 219 python files and 8 notebooks

\n
\n

Electron-microscopic-image-segmentation-using-Deep-Learning

\n
\n

… segmentation using state-of-the-art deep learning tools available like Tensorflow to train a U-Net architectured network.

\n
\n

It uses tensorflow.
\nIt has 5 python files

\n
\n

MTL_PAN_SEG

\n
\n

Implementation of \"Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation\"

\n
\n

It uses tensorflow.
\nIt has 8 python files

\n
\n

deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator

\n
\n

Pytorch code for the paper \"Deep Active Learning for Joint Classification and Segmentation with Weak Annotator\"

\n
\n

It uses pytorch.
\nIt has 36 python files

\n
", "messages": [ { "id": 1790363, "postDate": "2022-05-14T20:21:22.373Z", "content": "

'

\n

Segmentation! In this exciting and terrifying place, you will find a variety of software that is freely available to the public. This software has been created by some of the most brilliant minds in the world, and it is now yours for the taking.

\n

But be careful! Segmentation is a dangerous place, and these projects can be deadly if you're not careful.
\nSo please take a moment to read through this list, and learn about each of these amazing pieces of code.

\n

Then choose the ones that are best suited for your needs, and be prepared for an adventure like no other.

\n
\n

mit-deep-learning

\n
\n

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

\n
\n

It uses tensorflow.
\nIt has 4 notebooks

\n
\n

segmentation

\n
\n

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

\n
\n

It uses tensorflow.
\nIt has 16 python files and 21 notebooks

\n
\n

Deep-Learning-liver-segmentation

\n
\n

Application of Deep Learning to the segmentation of medical images

\n
\n

It uses tensorflow.
\nIt has 1 python file

\n
\n

Brain-tumor-segmentation-using-deep-learning

\n
\n

BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras

\n
\n

It uses tensorflow.
\nIt has 1 python file and 1 notebook

\n
\n

Deep-Residual-Unet

\n
\n

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advange of the residual learning and UNet.

\n
\n

It uses tensorflow.

\n
\n

deepflash2

\n
\n

A deep-learning pipeline for segmentation of ambiguous microscopic images.

\n
\n

It uses pytorch.
\nIt has 12 python files and 8 notebooks

\n
\n

pointnet

\n
\n

PyTorch implementation of \"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\" https://arxi.tech/pointnet

\n
\n

It uses pytorch.
\nIt has 5 python files and 1 notebook

\n
\n

UnityImageSynthesisTutorial1

\n
\n

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

\n
\n

It uses pytorch.

\n
\n

lung-cancer-detection

\n
\n

Deep learning-based segmentation and classification of lung nodules

\n
\n

It uses pytorch.
\nIt has 18 python files and 9 notebooks

\n
\n

DeepLearningDroneSimulator

\n
\n

This project is about training a deep neural network to identify and track a target in simulation so-called “follow mr. green”.

\n
\n

It uses tensorflow.
\nIt has 9 python files

\n
\n

2017Summer_Duke

\n
\n

Deep learning based semantic segmentation on satellite images

\n
\n

It uses tensorflow.

\n
\n

semantic-segmentation

\n
\n

Image semantic segmentation using deep learning

\n
\n

It uses tensorflow.
\nIt has 6 python files

\n
\n

Follow-Me

\n
\n

Deep learning architecture to help a drone target and follow people

\n
\n

It uses tensorflow.
\nIt has 9 python files

\n
\n

BMEN4460-NB3-brain_tumor_segmentation

\n
\n

Child repository of Deep-learning-with-PyTorch-and-GCP

\n
\n

It uses pytorch.

\n
\n

semantic-segmentation

\n
\n

Road classification using Deep Learning

\n
\n

It uses tensorflow.

\n
\n

Deep-learning-teaching

\n
\n

Deep learning courses for postgraduates

\n
\n

It uses tensorflow.
\nIt has 11 python files and 1 notebook

\n
\n

deep-learning-for-image-processing

\n
\n

deep learning for image processing including classification and object-detection etc.

\n
\n

It uses pytorch.
\nIt has 413 python files

\n
\n

pointnet

\n
\n

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

\n
\n

It uses tensorflow.
\nIt has 22 python files

\n
\n

MICCAI-LITS2017

\n
\n

liver segmentation using deep learning

\n
\n

It uses pytorch.
\nIt has 20 python files

\n
\n

imgclsmob

\n
\n

Sandbox for training deep learning networks

\n
\n

It uses both tensorflow and pytorch.
\nIt has 790 python files

\n
\n

Brain-tumor-segmentation

\n
\n

A deep learning based approach for brain tumor MRI segmentation.

\n
\n

It uses tensorflow.
\nIt has 6 python files

\n
\n

torch-points3d

\n
\n

Pytorch framework for doing deep learning on point clouds.

\n
\n

It uses pytorch.
\nIt has 260 python files and 13 notebooks

\n
\n

eye-in-the-sky

\n
\n

Satellite Image Classification using semantic segmentation methods in deep learning

\n
\n

It uses tensorflow.
\nIt has 6 python files

\n
\n

MedicalZooPytorch

\n
\n

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

\n
\n

It uses pytorch.

\n
\n

Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow

\n
\n

Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation intowords

\n
\n

It uses tensorflow.
\nIt has 18 python files

\n
\n

VGN

\n
\n

Deep Vessel Segmentation by Learning Graphical Connectivity

\n
\n

It uses tensorflow.
\nIt has 15 python files

\n
\n

MIScnn

\n
\n

A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

\n
\n

It uses tensorflow.
\nIt has 61 python files and 1 notebook

\n
\n

Deep-Learning-Based-ECG-Annotator

\n
\n

Annotation of ECG signals using deep learning, tensorflow’ Keras

\n
\n

It uses tensorflow.
\nIt has 1 python file

\n
\n

Multi-task-deep-network

\n
\n

Usage of Multi-task deep learning network for semantic segmentation in medical images

\n
\n

It uses pytorch.
\nIt has 6 python files

\n
\n

EM_Image_Segmentation

\n
\n

Deep Learning approaches for EM data

\n
\n

It uses tensorflow.
\nIt has 74 python files and 5 notebooks

\n
\n

deepdrr

\n
\n

Code for \"DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures\". https://arxiv.org/abs/1803.08606

\n
\n

It uses pytorch.
\nIt has 87 python files

\n
\n

wildcat.pytorch

\n
\n

PyTorch implementation of \"WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise L1 Loss\"

\n
\n

It uses pytorch.
\nIt has 8 python files

\n
\n

Crack-segmentation

\n
\n

This repo contains customized deep learning models for segmenting cracks.

\n
\n

It uses tensorflow.
\nIt has 7 python files

\n
\n

alfred

\n
\n

alfred-py: A deep learning utility library for human, more detail about the usage of lib to: https://zhuanlan.zhiyun.com/p/46876427

\n
\n

It uses pytorch.

\n
\n

DeepLIIF

\n
\n

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machiine Learning]

\n
\n

It uses pytorch.
\nIt has 43 python files

\n
\n

Pytorch--3D-Medical-Images-Segmentation--SALMON

\n
\n

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed bDescription:

\n
\n

It uses pytorch.
\nIt has 31 python files

\n
\n

Devnagari-Handwritten-Word-Recongition-with-Deep-Learning

\n
\n

Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation intocharacters

\n
\n

It uses tensorflow.
\nIt has 4 python files

\n
\n

lidar-deep-segmentation

\n
\n

Semantic segmentation deep learning for aerial, high density Lidar point clouds.

\n
\n

It uses pytorch.
\nIt has 18 python files and 1 notebook

\n
\n

DeepViewAgg

\n
\n

PyTorch implementation of the method presented in \"Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation\"

\n
\n

It uses pytorch.
\nIt has 219 python files and 8 notebooks

\n
\n

Electron-microscopic-image-segmentation-using-Deep-Learning

\n
\n

… segmentation using state-of-the-art deep learning tools available like Tensorflow to train a U-Net architectured network.

\n
\n

It uses tensorflow.
\nIt has 5 python files

\n
\n

MTL_PAN_SEG

\n
\n

Implementation of \"Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation\"

\n
\n

It uses tensorflow.
\nIt has 8 python files

\n
\n

deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator

\n
\n

Pytorch code for the paper \"Deep Active Learning for Joint Classification and Segmentation with Weak Annotator\"

\n
\n

It uses pytorch.
\nIt has 36 python files

\n
", "rawMarkdown": "'\n\nSegmentation! In this exciting and terrifying place, you will find a variety of software that is freely available to the public. This software has been created by some of the most brilliant minds in the world, and it is now yours for the taking.\n\nBut be careful! Segmentation is a dangerous place, and these projects can be deadly if you're not careful.\nSo please take a moment to read through this list, and learn about each of these amazing pieces of code.\n\nThen choose the ones that are best suited for your needs, and be prepared for an adventure like no other.\n\n\n_____\n\n#### [mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)\n> Tutorials, assignments, and competitions for MIT Deep Learning related courses.\n\nIt uses tensorflow.\nIt has 4 notebooks\n_____\n\n\n\n#### [segmentation](https://github.com/jr0th/segmentation)\n> Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.\n\nIt uses tensorflow.\nIt has 16 python files and 21 notebooks\n_____\n\n\n\n#### [Deep-Learning-liver-segmentation](https://github.com/soribadiaby/Deep-Learning-liver-segmentation)\n> Application of Deep Learning to the segmentation of medical images\n\nIt uses tensorflow.\nIt has 1 python file\n_____\n\n\n\n#### [Brain-tumor-segmentation-using-deep-learning](https://github.com/polo8214/Brain-tumor-segmentation-using-deep-learning)\n> #BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras\n\nIt uses tensorflow.\nIt has 1 python file and 1 notebook\n_____\n\n\n\n#### [Deep-Residual-Unet](https://github.com/nikhilroxtomar/Deep-Residual-Unet)\n> ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advange of the residual learning and UNet.\n\nIt uses tensorflow.\n\n_____\n\n\n\n#### [deepflash2](https://github.com/matjesg/deepflash2)\n> A deep-learning pipeline for segmentation of ambiguous microscopic images.\n\nIt uses pytorch.\nIt has 12 python files and 8 notebooks\n_____\n\n\n\n#### [pointnet](https://github.com/nikitakaraevv/pointnet)\n> PyTorch implementation of \"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\" https://arxi.tech/pointnet\n\nIt uses pytorch.\nIt has 5 python files and 1 notebook\n_____\n\n\n\n#### [UnityImageSynthesisTutorial1](https://github.com/stratospark/UnityImageSynthesisTutorial1)\n> Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [lung-cancer-detection](https://github.com/felixpeters/lung-cancer-detection)\n> Deep learning-based segmentation and classification of lung nodules\n\nIt uses pytorch.\nIt has 18 python files and 9 notebooks\n_____\n\n\n\n#### [DeepLearningDroneSimulator](https://github.com/georgeerol/DeepLearningDroneSimulator)\n> This project is about training a deep neural network to identify and track a target in simulation so-called “follow mr. green”.\n\nIt uses tensorflow.\nIt has 9 python files\n_____\n\n\n\n#### [2017Summer_Duke](https://github.com/wildphoton/2017Summer_Duke)\n> Deep learning based semantic segmentation on satellite images\n\nIt uses tensorflow.\n\n_____\n\n\n\n#### [semantic-segmentation](https://github.com/Booritas/semantic-segmentation)\n> Image semantic segmentation using deep learning\n\nIt uses tensorflow.\nIt has 6 python files\n_____\n\n\n\n#### [Follow-Me](https://github.com/brunoeducsantos/Follow-Me)\n> Deep learning architecture to help a drone target and follow people\n\nIt uses tensorflow.\nIt has 9 python files\n_____\n\n\n\n#### [BMEN4460-NB3-brain_tumor_segmentation](https://github.com/RnR-2018/BMEN4460-NB3-brain_tumor_segmentation)\n> Child repository of Deep-learning-with-PyTorch-and-GCP\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [semantic-segmentation](https://github.com/neocsr/semantic-segmentation)\n> Road classification using Deep Learning\n\nIt uses tensorflow.\n\n_____\n\n\n\n#### [Deep-learning-teaching](https://github.com/JunchuanYu/Deep-learning-teaching)\n> Deep learning courses for postgraduates\n\nIt uses tensorflow.\nIt has 11 python files and 1 notebook\n_____\n\n\n\n#### [deep-learning-for-image-processing](https://github.com/WZMIAOMIAO/deep-learning-for-image-processing)\n> deep learning for image processing including classification and object-detection etc.\n\nIt uses pytorch.\nIt has 413 python files\n_____\n\n\n\n#### [pointnet](https://github.com/charlesq34/pointnet)\n> PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\n\nIt uses tensorflow.\nIt has 22 python files\n_____\n\n\n\n#### [MICCAI-LITS2017](https://github.com/assassint2017/MICCAI-LITS2017)\n> liver segmentation using deep learning\n\nIt uses pytorch.\nIt has 20 python files\n_____\n\n\n\n#### [imgclsmob](https://github.com/osmr/imgclsmob)\n> Sandbox for training deep learning networks\n\nIt uses both tensorflow and pytorch.\nIt has 790 python files\n_____\n\n\n\n#### [Brain-tumor-segmentation](https://github.com/Issam28/Brain-tumor-segmentation)\n> A deep learning based approach for brain tumor MRI segmentation.\n\nIt uses tensorflow.\nIt has 6 python files\n_____\n\n\n\n#### [torch-points3d](https://github.com/torch-points3d/torch-points3d)\n> Pytorch framework for doing deep learning on point clouds.\n\nIt uses pytorch.\nIt has 260 python files and 13 notebooks\n_____\n\n\n\n#### [eye-in-the-sky](https://github.com/manideep2510/eye-in-the-sky)\n> Satellite Image Classification using semantic segmentation methods in deep learning\n\nIt uses tensorflow.\nIt has 6 python files\n_____\n\n\n\n#### [MedicalZooPytorch](https://github.com/black0017/MedicalZooPytorch)\n> A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow](https://github.com/sushant097/Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow)\n> Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation intowords\n\nIt uses tensorflow.\nIt has 18 python files\n_____\n\n\n\n#### [VGN](https://github.com/syshin1014/VGN)\n> Deep Vessel Segmentation by Learning Graphical Connectivity\n\nIt uses tensorflow.\nIt has 15 python files\n_____\n\n\n\n#### [MIScnn](https://github.com/frankkramer-lab/MIScnn)\n> A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning\n\nIt uses tensorflow.\nIt has 61 python files and 1 notebook\n_____\n\n\n\n#### [Deep-Learning-Based-ECG-Annotator](https://github.com/niekverw/Deep-Learning-Based-ECG-Annotator)\n> Annotation of ECG signals using deep learning, tensorflow’ Keras\n\nIt uses tensorflow.\nIt has 1 python file\n_____\n\n\n\n#### [Multi-task-deep-network](https://github.com/Bala93/Multi-task-deep-network)\n> Usage of Multi-task deep learning network for semantic segmentation in medical images\n\nIt uses pytorch.\nIt has 6 python files\n_____\n\n\n\n#### [EM_Image_Segmentation](https://github.com/danifranco/EM_Image_Segmentation)\n> Deep Learning approaches for EM data\n\nIt uses tensorflow.\nIt has 74 python files and 5 notebooks\n_____\n\n\n\n#### [deepdrr](https://github.com/arcadelab/deepdrr)\n> Code for \"DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures\". https://arxiv.org/abs/1803.08606\n\nIt uses pytorch.\nIt has 87 python files\n_____\n\n\n\n#### [wildcat.pytorch](https://github.com/durandtibo/wildcat.pytorch)\n> PyTorch implementation of \"WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise L1 Loss\"\n\nIt uses pytorch.\nIt has 8 python files\n_____\n\n\n\n#### [Crack-segmentation](https://github.com/choiw-public/Crack-segmentation)\n> This repo contains customized deep learning models for segmenting cracks.\n\nIt uses tensorflow.\nIt has 7 python files\n_____\n\n\n\n#### [alfred](https://github.com/jinfagang/alfred)\n> alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhiyun.com/p/46876427\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [DeepLIIF](https://github.com/nadeemlab/DeepLIIF)\n> Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machiine Learning]\n\nIt uses pytorch.\nIt has 43 python files\n_____\n\n\n\n#### [Pytorch--3D-Medical-Images-Segmentation--SALMON](https://github.com/davidiommi/Pytorch--3D-Medical-Images-Segmentation--SALMON)\n> Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed bDescription:\n\nIt uses pytorch.\nIt has 31 python files\n_____\n\n\n\n#### [Devnagari-Handwritten-Word-Recongition-with-Deep-Learning](https://github.com/sushant097/Devnagari-Handwritten-Word-Recongition-with-Deep-Learning)\n> Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation intocharacters\n\nIt uses tensorflow.\nIt has 4 python files\n_____\n\n\n\n#### [lidar-deep-segmentation](https://github.com/IGNF/lidar-deep-segmentation)\n> Semantic segmentation deep learning for aerial, high density Lidar point clouds.\n\nIt uses pytorch.\nIt has 18 python files and 1 notebook\n_____\n\n\n\n#### [DeepViewAgg](https://github.com/drprojects/DeepViewAgg)\n> PyTorch implementation of the method presented in \"Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation\"\n\nIt uses pytorch.\nIt has 219 python files and 8 notebooks\n_____\n\n\n\n#### [Electron-microscopic-image-segmentation-using-Deep-Learning](https://github.com/varshini24/Electron-microscopic-image-segmentation-using-Deep-Learning)\n> ... segmentation using state-of-the-art deep learning tools available like Tensorflow to train a U-Net architectured network.\n\nIt uses tensorflow.\nIt has 5 python files\n_____\n\n\n\n#### [MTL_PAN_SEG](https://github.com/andrewekhalel/MTL_PAN_SEG)\n> Implementation of \"Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation\"\n\nIt uses tensorflow.\nIt has 8 python files\n_____\n\n\n\n#### [deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator](https://github.com/sbelharbi/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator)\n> Pytorch code for the paper \"Deep Active Learning for Joint Classification and Segmentation with Weak Annotator\"\n\nIt uses pytorch.\nIt has 36 python files\n_____\n\n\n\n", "votes": 1 } ], "comments": [], "raw_markdown_by_id": { "1790363": "'\n\nSegmentation! In this exciting and terrifying place, you will find a variety of software that is freely available to the public. This software has been created by some of the most brilliant minds in the world, and it is now yours for the taking.\n\nBut be careful! Segmentation is a dangerous place, and these projects can be deadly if you're not careful.\nSo please take a moment to read through this list, and learn about each of these amazing pieces of code.\n\nThen choose the ones that are best suited for your needs, and be prepared for an adventure like no other.\n\n\n_____\n\n#### [mit-deep-learning](https://github.com/lexfridman/mit-deep-learning)\n> Tutorials, assignments, and competitions for MIT Deep Learning related courses.\n\nIt uses tensorflow.\nIt has 4 notebooks\n_____\n\n\n\n#### [segmentation](https://github.com/jr0th/segmentation)\n> Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.\n\nIt uses tensorflow.\nIt has 16 python files and 21 notebooks\n_____\n\n\n\n#### [Deep-Learning-liver-segmentation](https://github.com/soribadiaby/Deep-Learning-liver-segmentation)\n> Application of Deep Learning to the segmentation of medical images\n\nIt uses tensorflow.\nIt has 1 python file\n_____\n\n\n\n#### [Brain-tumor-segmentation-using-deep-learning](https://github.com/polo8214/Brain-tumor-segmentation-using-deep-learning)\n> #BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras\n\nIt uses tensorflow.\nIt has 1 python file and 1 notebook\n_____\n\n\n\n#### [Deep-Residual-Unet](https://github.com/nikhilroxtomar/Deep-Residual-Unet)\n> ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advange of the residual learning and UNet.\n\nIt uses tensorflow.\n\n_____\n\n\n\n#### [deepflash2](https://github.com/matjesg/deepflash2)\n> A deep-learning pipeline for segmentation of ambiguous microscopic images.\n\nIt uses pytorch.\nIt has 12 python files and 8 notebooks\n_____\n\n\n\n#### [pointnet](https://github.com/nikitakaraevv/pointnet)\n> PyTorch implementation of \"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\" https://arxi.tech/pointnet\n\nIt uses pytorch.\nIt has 5 python files and 1 notebook\n_____\n\n\n\n#### [UnityImageSynthesisTutorial1](https://github.com/stratospark/UnityImageSynthesisTutorial1)\n> Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [lung-cancer-detection](https://github.com/felixpeters/lung-cancer-detection)\n> Deep learning-based segmentation and classification of lung nodules\n\nIt uses pytorch.\nIt has 18 python files and 9 notebooks\n_____\n\n\n\n#### [DeepLearningDroneSimulator](https://github.com/georgeerol/DeepLearningDroneSimulator)\n> This project is about training a deep neural network to identify and track a target in simulation so-called “follow mr. green”.\n\nIt uses tensorflow.\nIt has 9 python files\n_____\n\n\n\n#### [2017Summer_Duke](https://github.com/wildphoton/2017Summer_Duke)\n> Deep learning based semantic segmentation on satellite images\n\nIt uses tensorflow.\n\n_____\n\n\n\n#### [semantic-segmentation](https://github.com/Booritas/semantic-segmentation)\n> Image semantic segmentation using deep learning\n\nIt uses tensorflow.\nIt has 6 python files\n_____\n\n\n\n#### [Follow-Me](https://github.com/brunoeducsantos/Follow-Me)\n> Deep learning architecture to help a drone target and follow people\n\nIt uses tensorflow.\nIt has 9 python files\n_____\n\n\n\n#### [BMEN4460-NB3-brain_tumor_segmentation](https://github.com/RnR-2018/BMEN4460-NB3-brain_tumor_segmentation)\n> Child repository of Deep-learning-with-PyTorch-and-GCP\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [semantic-segmentation](https://github.com/neocsr/semantic-segmentation)\n> Road classification using Deep Learning\n\nIt uses tensorflow.\n\n_____\n\n\n\n#### [Deep-learning-teaching](https://github.com/JunchuanYu/Deep-learning-teaching)\n> Deep learning courses for postgraduates\n\nIt uses tensorflow.\nIt has 11 python files and 1 notebook\n_____\n\n\n\n#### [deep-learning-for-image-processing](https://github.com/WZMIAOMIAO/deep-learning-for-image-processing)\n> deep learning for image processing including classification and object-detection etc.\n\nIt uses pytorch.\nIt has 413 python files\n_____\n\n\n\n#### [pointnet](https://github.com/charlesq34/pointnet)\n> PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation\n\nIt uses tensorflow.\nIt has 22 python files\n_____\n\n\n\n#### [MICCAI-LITS2017](https://github.com/assassint2017/MICCAI-LITS2017)\n> liver segmentation using deep learning\n\nIt uses pytorch.\nIt has 20 python files\n_____\n\n\n\n#### [imgclsmob](https://github.com/osmr/imgclsmob)\n> Sandbox for training deep learning networks\n\nIt uses both tensorflow and pytorch.\nIt has 790 python files\n_____\n\n\n\n#### [Brain-tumor-segmentation](https://github.com/Issam28/Brain-tumor-segmentation)\n> A deep learning based approach for brain tumor MRI segmentation.\n\nIt uses tensorflow.\nIt has 6 python files\n_____\n\n\n\n#### [torch-points3d](https://github.com/torch-points3d/torch-points3d)\n> Pytorch framework for doing deep learning on point clouds.\n\nIt uses pytorch.\nIt has 260 python files and 13 notebooks\n_____\n\n\n\n#### [eye-in-the-sky](https://github.com/manideep2510/eye-in-the-sky)\n> Satellite Image Classification using semantic segmentation methods in deep learning\n\nIt uses tensorflow.\nIt has 6 python files\n_____\n\n\n\n#### [MedicalZooPytorch](https://github.com/black0017/MedicalZooPytorch)\n> A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow](https://github.com/sushant097/Handwritten-Line-Text-Recognition-using-Deep-Learning-with-Tensorflow)\n> Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation intowords\n\nIt uses tensorflow.\nIt has 18 python files\n_____\n\n\n\n#### [VGN](https://github.com/syshin1014/VGN)\n> Deep Vessel Segmentation by Learning Graphical Connectivity\n\nIt uses tensorflow.\nIt has 15 python files\n_____\n\n\n\n#### [MIScnn](https://github.com/frankkramer-lab/MIScnn)\n> A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning\n\nIt uses tensorflow.\nIt has 61 python files and 1 notebook\n_____\n\n\n\n#### [Deep-Learning-Based-ECG-Annotator](https://github.com/niekverw/Deep-Learning-Based-ECG-Annotator)\n> Annotation of ECG signals using deep learning, tensorflow’ Keras\n\nIt uses tensorflow.\nIt has 1 python file\n_____\n\n\n\n#### [Multi-task-deep-network](https://github.com/Bala93/Multi-task-deep-network)\n> Usage of Multi-task deep learning network for semantic segmentation in medical images\n\nIt uses pytorch.\nIt has 6 python files\n_____\n\n\n\n#### [EM_Image_Segmentation](https://github.com/danifranco/EM_Image_Segmentation)\n> Deep Learning approaches for EM data\n\nIt uses tensorflow.\nIt has 74 python files and 5 notebooks\n_____\n\n\n\n#### [deepdrr](https://github.com/arcadelab/deepdrr)\n> Code for \"DeepDRR: A Catalyst for Machine Learning in Fluoroscopy-guided Procedures\". https://arxiv.org/abs/1803.08606\n\nIt uses pytorch.\nIt has 87 python files\n_____\n\n\n\n#### [wildcat.pytorch](https://github.com/durandtibo/wildcat.pytorch)\n> PyTorch implementation of \"WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise L1 Loss\"\n\nIt uses pytorch.\nIt has 8 python files\n_____\n\n\n\n#### [Crack-segmentation](https://github.com/choiw-public/Crack-segmentation)\n> This repo contains customized deep learning models for segmenting cracks.\n\nIt uses tensorflow.\nIt has 7 python files\n_____\n\n\n\n#### [alfred](https://github.com/jinfagang/alfred)\n> alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhiyun.com/p/46876427\n\nIt uses pytorch.\n\n_____\n\n\n\n#### [DeepLIIF](https://github.com/nadeemlab/DeepLIIF)\n> Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machiine Learning]\n\nIt uses pytorch.\nIt has 43 python files\n_____\n\n\n\n#### [Pytorch--3D-Medical-Images-Segmentation--SALMON](https://github.com/davidiommi/Pytorch--3D-Medical-Images-Segmentation--SALMON)\n> Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed bDescription:\n\nIt uses pytorch.\nIt has 31 python files\n_____\n\n\n\n#### [Devnagari-Handwritten-Word-Recongition-with-Deep-Learning](https://github.com/sushant097/Devnagari-Handwritten-Word-Recongition-with-Deep-Learning)\n> Use Convolutional Recurrent Neural Network to recognize the Handwritten Word text image without pre segmentation intocharacters\n\nIt uses tensorflow.\nIt has 4 python files\n_____\n\n\n\n#### [lidar-deep-segmentation](https://github.com/IGNF/lidar-deep-segmentation)\n> Semantic segmentation deep learning for aerial, high density Lidar point clouds.\n\nIt uses pytorch.\nIt has 18 python files and 1 notebook\n_____\n\n\n\n#### [DeepViewAgg](https://github.com/drprojects/DeepViewAgg)\n> PyTorch implementation of the method presented in \"Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation\"\n\nIt uses pytorch.\nIt has 219 python files and 8 notebooks\n_____\n\n\n\n#### [Electron-microscopic-image-segmentation-using-Deep-Learning](https://github.com/varshini24/Electron-microscopic-image-segmentation-using-Deep-Learning)\n> ... segmentation using state-of-the-art deep learning tools available like Tensorflow to train a U-Net architectured network.\n\nIt uses tensorflow.\nIt has 5 python files\n_____\n\n\n\n#### [MTL_PAN_SEG](https://github.com/andrewekhalel/MTL_PAN_SEG)\n> Implementation of \"Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation\"\n\nIt uses tensorflow.\nIt has 8 python files\n_____\n\n\n\n#### [deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator](https://github.com/sbelharbi/deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator)\n> Pytorch code for the paper \"Deep Active Learning for Joint Classification and Segmentation with Weak Annotator\"\n\nIt uses pytorch.\nIt has 36 python files\n_____\n\n\n\n" } }