{
  "id": 438415,
  "title": "RNA starter [0.186 LB]",
  "url": "/competitions/stanford-ribonanza-rna-folding/discussion/438415",
  "author_name": "Iafoss",
  "post_date": "2023-09-11T05:14:45.144000",
  "votes": 47,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Welcome to the Stanford Ribonanza RNA Folding competition. I have prepared several kernels for people who use Pytorch and fast.ai to get started with this challenge and for others to borrow some ideas and explore them more.</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/iafoss/rna-starter-0-186-lb/notebook\" target=\"_blank\">https://www.kaggle.com/code/iafoss/rna-starter-0-186-lb/notebook</a> the training kernel giving a Pytorch/fast.ai pipeline to start with. In my example, a simple transformer model is used because it fits the considered problem quite well, but you can easily replace it according to your preferences.</li>\n<li><a href=\"https://www.kaggle.com/code/iafoss/rna-starter-submission-0-186-lb/notebook\" target=\"_blank\">https://www.kaggle.com/code/iafoss/rna-starter-submission-0-186-lb/notebook</a> the starter inference kernel that got 0.18588 LB.</li>\n</ul>\n<p>I hope you will enjoy this competition, and I wish you the best of luck.</p>",
  "messages": [
    {
      "id": 2432731,
      "postDate": "2023-09-11T05:14:45.143Z",
      "content": "<p>Welcome to the Stanford Ribonanza RNA Folding competition. I have prepared several kernels for people who use Pytorch and fast.ai to get started with this challenge and for others to borrow some ideas and explore them more.</p>\n<ul>\n<li><a href=\"https://www.kaggle.com/code/iafoss/rna-starter-0-186-lb/notebook\" target=\"_blank\">https://www.kaggle.com/code/iafoss/rna-starter-0-186-lb/notebook</a> the training kernel giving a Pytorch/fast.ai pipeline to start with. In my example, a simple transformer model is used because it fits the considered problem quite well, but you can easily replace it according to your preferences.</li>\n<li><a href=\"https://www.kaggle.com/code/iafoss/rna-starter-submission-0-186-lb/notebook\" target=\"_blank\">https://www.kaggle.com/code/iafoss/rna-starter-submission-0-186-lb/notebook</a> the starter inference kernel that got 0.18588 LB.</li>\n</ul>\n<p>I hope you will enjoy this competition, and I wish you the best of luck.</p>",
      "rawMarkdown": "Welcome to the Stanford Ribonanza RNA Folding competition. I have prepared several kernels for people who use Pytorch and fast.ai to get started with this challenge and for others to borrow some ideas and explore them more.\n- https://www.kaggle.com/code/iafoss/rna-starter-0-186-lb/notebook the training kernel giving a Pytorch/fast.ai pipeline to start with. In my example, a simple transformer model is used because it fits the considered problem quite well, but you can easily replace it according to your preferences.\n- https://www.kaggle.com/code/iafoss/rna-starter-submission-0-186-lb/notebook the starter inference kernel that got 0.18588 LB.\n\nI hope you will enjoy this competition, and I wish you the best of luck.",
      "votes": 47
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2432731": "Welcome to the Stanford Ribonanza RNA Folding competition. I have prepared several kernels for people who use Pytorch and fast.ai to get started with this challenge and for others to borrow some ideas and explore them more.\n- https://www.kaggle.com/code/iafoss/rna-starter-0-186-lb/notebook the training kernel giving a Pytorch/fast.ai pipeline to start with. In my example, a simple transformer model is used because it fits the considered problem quite well, but you can easily replace it according to your preferences.\n- https://www.kaggle.com/code/iafoss/rna-starter-submission-0-186-lb/notebook the starter inference kernel that got 0.18588 LB.\n\nI hope you will enjoy this competition, and I wish you the best of luck."
  }
}