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style: split Deep Learning into Frameworks and Reinforcement Learning

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No removals. Frameworks tiers: pytorch (96.6M/mo as PyPI torch — the
display name stays pytorch by explicit maintainer word, a deliberate
exception to the naming convention; the bare pytorch PyPI package is
a squatting placeholder), tensorflow (19.2M/mo — production incumbent,
flagged as a Second Tier demotion candidate for the next audit), keras
(18.6M/mo, backend-agnostic since Keras 3) obvious choices; jax
(21.8M/mo, TPU/performance trajectory) and pytorch-lightning
(11M/mo) challengers. Landscape verified: PyTorch is the 2026 default
with 85% research share.

stable-baselines3 moves into the minted Reinforcement Learning
subcategory — RL is a distinct job; gymnasium joins it next commit.

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Vinta Chen
2026-08-16 14:47:44 +08:00
co-authored by Claude
parent 660d746237
commit 34c550b864
1 changed files with 8 additions and 6 deletions
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README.md
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@@ -177,12 +177,14 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents
_Frameworks for Neural Networks and Deep Learning. Also see [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)._
- [jax](https://github.com/jax-ml/jax) - A library for high-performance numerical computing with automatic differentiation and JIT compilation.
- [keras](https://github.com/keras-team/keras) - A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends.
- [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
- [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
- [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
- [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
- Frameworks
- [pytorch](https://github.com/pytorch/pytorch) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
- [tensorflow](https://github.com/tensorflow/tensorflow) - The most popular Deep Learning framework created by Google.
- [keras](https://github.com/keras-team/keras) - A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends.
- [jax](https://github.com/jax-ml/jax) - A library for high-performance numerical computing with automatic differentiation and JIT compilation.
- [pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) - Deep learning framework to train, deploy, and ship AI products Lightning fast.
- Reinforcement Learning
- [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) - PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.
### Machine Learning