labmlai / annotated_deep_learning_paper_implementations
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Why this job: says: reinforcement learning, distillation; topics: lora, reinforcement-learning
What it does
The website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.
Get started
pip install labml-nn- Maintenance
- Active
- Last commit 7 days ago
- Stars
- 67,729
- +83 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 90% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 80% closed
- 29 still open
- Pull requests
- 105 merged
- 18 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 90%
- Jupyter Notebook 10%
- Makefile <1%
Topics
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
- transformers
- reinforcement-learning
- optimizers
- neural-networks
- transformer
- machine-learning
- attention
- literate-programming
Project record
- JobFine-tuning
- StatusListed
- Commits865
- Forks6,789
- Watching496
- Stars in 28 days+254
- CreatedAug 25, 2020
- First seen by usNov 7, 2026
- CheckedNov 9, 2026
