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labmlai / annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

Why this job: says: reinforcement learning, distillation; topics: lora, reinforcement-learning

What it does

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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

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