annotated_deep_learning_paper_implementations vs models
annotated_deep_learning_paper_implementations and models share 6 technologies: matplotlib, torch, torchvision, einops, opencv-python, and pillow. Both are written in Python.
What they share and what sets them apart
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
Python67.7kRead on November 5, 2026, at commit db59a04What is annotated_deep_learning_paper_implementations built with?Only in annotated_deep_learning_paper_implementations
- fairscale
In common
matplotlib
- torch
torchvision
- einops
opencv-python
pillow
models
Models and examples built with TensorFlow
Python77.6kRead on November 4, 2026, at commit 19f2877What is models built with?Only in models
- FastAPI
- Google Cloud Storage
seaborn
google-auth-oauthlib
cupy-cuda12x
- TensorFlow
tf-keras
- sentencepiece
scikit-image
- scikit-learn
nltk
- tritonclient
psutil
Side by side
Frequently asked questions
Which is bigger, annotated_deep_learning_paper_implementations or models?
The proof: tensorflow/models's code at commit 19f2877
Which has more GitHub stars, annotated_deep_learning_paper_implementations or models?
The proof: tensorflow/models on GitHub
Which has more tests, annotated_deep_learning_paper_implementations or models?
The proof: tensorflow/models's code at commit 19f2877
Which was updated more recently, annotated_deep_learning_paper_implementations or models?
The proof: tensorflow/models's commits on GitHub
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