|
239 | 239 | * [Stable Baselines3](https://github.com/DLR-RM/stable-baselines3) - A set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines. |
240 | 240 | * [RLlib](https://ray.readthedocs.io/en/latest/rllib.html) - Scalable Reinforcement Learning. |
241 | 241 | * [Acme](https://github.com/google-deepmind/acme) - A library of reinforcement learning components and agents. |
242 | | -* [Catalyst-RL](https://github.com/catalyst-team/catalyst-rl) - PyTorch framework for RL research. |
| 242 | +* [Catalyst-RL](https://github.com/catalyst-team/catalyst-rl) - PyTorch framework for RL research. <imgheight="20"src="img/pytorch_big2.png"alt="PyTorch based/compatible"> |
243 | 243 | * [d3rlpy](https://github.com/takuseno/d3rlpy) - An offline deep reinforcement learning library. |
244 | | -* [Tianshou](https://github.com/thu-ml/tianshou/#comprehensive-functionality) - An elegant PyTorch deep reinforcement learning library. |
245 | | -* [TF-Agents](https://github.com/tensorflow/agents) - A library for Reinforcement Learning in TensorFlow. <img height="20" src="img/tf_big2.png" alt="sklearn"> |
246 | | -* [TensorForce](https://github.com/reinforceio/tensorforce) - A TensorFlow library for applied reinforcement learning. <img height="20" src="img/tf_big2.png" alt="sklearn"> |
| 244 | +* [Tianshou](https://github.com/thu-ml/tianshou/#comprehensive-functionality) - An elegant PyTorch deep reinforcement learning library. <imgheight="20"src="img/pytorch_big2.png"alt="PyTorch based/compatible"> |
| 245 | +* [TF-Agents](https://github.com/tensorflow/agents) - A library for Reinforcement Learning in TensorFlow. <img height="20" src="img/tf_big2.png" alt="TensorFlow"> |
| 246 | +* [TensorForce](https://github.com/reinforceio/tensorforce) - A TensorFlow library for applied reinforcement learning. <img height="20" src="img/tf_big2.png" alt="TensorFlow"> |
247 | 247 | * [TRFL](https://github.com/deepmind/trfl) - TensorFlow Reinforcement Learning. <img height="20" src="img/tf_big2.png" alt="sklearn"> |
248 | 248 | * [Dopamine](https://github.com/google/dopamine) - A research framework for fast prototyping of reinforcement learning algorithms. |
249 | 249 | * [keras-rl](https://github.com/keras-rl/keras-rl) - Deep Reinforcement Learning for Keras. <img height="20" src="img/keras_big.png" alt="Keras compatible"> |
250 | 250 | * [garage](https://github.com/rlworkgroup/garage) - A toolkit for reproducible reinforcement learning research. |
251 | 251 | * [Horizon](https://github.com/facebookresearch/Horizon) - A platform for Applied Reinforcement Learning. |
| 252 | +* [rlpyt](https://github.com/astooke/rlpyt) - Reinforcement Learning in PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
| 253 | +* [cleanrl](https://github.com/vwxyzjn/cleanrl) - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG). |
| 254 | +* [Machin](https://github.com/iffiX/machin) - A reinforcement library designed for pytorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
| 255 | +* [SKRL](https://github.com/Toni-SM/skrl) - Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
252 | 256 |
|
253 | 257 | ## Graph Machine Learning |
254 | 258 | * [pytorch_geometric](https://github.com/rusty1s/pytorch_geometric) - Geometric Deep Learning Extension Library for PyTorch. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
255 | 259 | * [pytorch_geometric_temporal](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) - Temporal Extension Library for PyTorch Geometric. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
256 | | -* [dgl](https://github.com/dmlc/dgl) - Python package built to ease deep learning on graph, on top of existing DL frameworks. |
| 260 | +* [PyTorch Geometric Signed Directed](https://github.com/SherylHYX/pytorch_geometric_signed_directed) - A signed/directed graph neural network extension library for PyTorch Geometric. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
| 261 | +* [dgl](https://github.com/dmlc/dgl) - Python package built to ease deep learning on graph, on top of existing DL frameworks. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> <img height="20" src="img/tf_big2.png" alt="TensorFlow"> <img height="20" src="img/mxnet_big.png" alt="MXNet based"> |
257 | 262 | * [Spektral](https://github.com/danielegrattarola/spektral) - Deep learning on graphs. <img height="20" src="img/keras_big.png" alt="Keras compatible"> |
| 263 | +* [StellarGraph](https://github.com/stellargraph/stellargraph) - Machine Learning on Graphs. <img height="20" src="img/tf_big2.png" alt="TensorFlow"> <img height="20" src="img/keras_big.png" alt="Keras compatible"> |
| 264 | +* [Graph Nets](https://github.com/google-deepmind/graph_nets) - Build Graph Nets in Tensorflow. <img height="20" src="img/tf_big2.png" alt="TensorFlow"> |
| 265 | +* [TensorFlow GNN](https://github.com/tensorflow/gnn) - A library to build Graph Neural Networks on the TensorFlow platform. <img height="20" src="img/tf_big2.png" alt="TensorFlow"> |
| 266 | +* [Auto Graph Learning](https://github.com/THUMNLab/AutoGL) -An autoML framework & toolkit for machine learning on graphs. |
| 267 | +* [PyTorch-BigGraph](https://github.com/facebookresearch/PyTorch-BigGraph) - Generate embeddings from large-scale graph-structured data. <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
| 268 | +* [Auto Graph Learning](https://github.com/THUMNLab/AutoGL) - An autoML framework & toolkit for machine learning on graphs. |
258 | 269 | * [Karate Club](https://github.com/benedekrozemberczki/karateclub) - An unsupervised machine learning library for graph-structured data. |
259 | 270 | * [Little Ball of Fur](https://github.com/benedekrozemberczki/littleballoffur) - A library for sampling graph structured data. |
| 271 | +* [GreatX](https://github.com/EdisonLeeeee/GreatX) - A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG). <img height="20" src="img/pytorch_big2.png" alt="PyTorch based/compatible"> |
260 | 272 |
|
261 | 273 | ## Probabilistic Graphical Models |
262 | 274 | * [pomegranate](https://github.com/jmschrei/pomegranate) - Probabilistic and graphical models for Python. <img height="20" src="img/gpu_big.png" alt="GPU accelerated"> |
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