annotated_deep_learning_paper_implementations

Deep learning implementations

Implementations of various deep learning algorithms and techniques with accompanying documentation

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

GitHub

57k stars
458 watching
6k forks
Language: Python
last commit: about 2 years ago
attentiondeep-learningdeep-learning-tutorialganliterate-programmingloramachine-learningneural-networksoptimizerspytorchreinforcement-learningtransformertransformers

Related projects:

RepositoryDescriptionStars
floodsung/deep-learning-papers-reading-roadmapA comprehensive roadmap for learning deep learning by following key papers in the field38,445
dennybritz/deeplearning-papernotesA collection of notes and summaries on various deep learning research papers, including their topics, techniques, and applications.4,416
dair-ai/ml-papers-explainedAn explanation of key concepts and advancements in the field of Machine Learning7,352
lexfridman/mit-deep-learningA collection of tutorials and code examples for learning deep learning concepts using MIT Deep Learning courses10,190
alirezadir/production-level-deep-learningA guide to building production-ready deep learning systems for real-world applications4,371
google-deepmind/deepmind-researchProvides implementations and illustrative code to accompany DeepMind research publications13,329
lucidrains/dalle2-pytorchAn implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch11,184
fchollet/deep-learning-with-python-notebooksCompanion notebooks implementing code samples from the book on deep learning with Python18,820
dsgiitr/d2l-pytorchAn open-source implementation of the popular book 'Dive Into Deep Learning' in PyTorch4,256
p-christ/deep-reinforcement-learning-algorithms-with-pytorchPyTorch implementations of popular deep reinforcement learning algorithms and environments.5,669
nlintz/tensorflow-tutorialsA collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks6,003
lucidrains/imagen-pytorchImplements Google's Text-to-Image Neural Network in PyTorch using a cascading DDPM architecture with dynamic clipping and noise level conditioning.8,127
rasmusbergpalm/deeplearntoolboxA Matlab toolbox providing implementations of various deep learning models3,808
shangtongzhang/deeprlA modularized implementation of various deep reinforcement learning algorithms in PyTorch3,209
google-research/vision_transformerProvides pre-trained models and code for training vision transformers and mixers using JAX/Flax10,620