From 34c550b8645b60f23847dabaa8c4d1a49ce96e71 Mon Sep 17 00:00:00 2001 From: Vinta Chen Date: Sun, 16 Aug 2026 14:47:44 +0800 Subject: [PATCH] style: split Deep Learning into Frameworks and Reinforcement Learning MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 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 --- README.md | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index d40980d1..7969498c 100644 --- a/README.md +++ b/README.md @@ -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