DNABERT
courses
| DNABERT | courses | |
|---|---|---|
| 1 | 7 | |
| 546 | 4,573 | |
| - | - | |
| 3.1 | 5.4 | |
| 2 months ago | 22 days ago | |
| Python | Python | |
| Apache License 2.0 | - |
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DNABERT
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[D] New to DNABERT
If I want to get started, they said it's optional to pre-train (so you can skip to step 3). This is where I got tripped up: "Note that the sequences are in kmer format, so you will need to convert your sequences into that." From what I understand, you need to do this so that all of the sequences are the same length? So kmer=6 means all of the sequences are length 6? Someone suggested that I take the first nucleotide in the promoter and grab 3 nucleotides before and 3 nucleotides after (+/-3 bases). I don't think that's how the kmer thing works though? I tried replicating how I think it works down below (I got confused on the last row of the 'after' df). Please correct me if I'm wrong!
courses
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If you are looking for free courses about AI, LLMs, CV, or NLP, I created the repository with links to resources that I found super high quality and helpful. The link is in the comment.
I found it: https://github.com/SkalskiP/courses
https://github.com/SkalskiP/courses/discussions/20. Wouldhttps://github.com/SkalskiP/courses/discussions/20 that format be helpful?
- Repo con cursos gratis sobre IA (en inglés)
- GitHub - SkalskiP/courses: This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
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Anyone know of any good video lectures for Computer Vision? From great professors at well-regarded universities
This is a popular repo with cv specific resources https://github.com/SkalskiP/courses
- Curated collection of high quality ai resources
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If you are looking for courses about Artificial Intelligence, I created the repository with links to resources that I found super high quality and helpful. The link is in the comment.
link: https://github.com/SkalskiP/courses
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