| tangyudi/Ai-Learn |
7,757 |
|
0 |
0 |
over 2 years ago |
0 |
|
20 |
|
|
| 人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域 |
| DLR-RM/stable-baselines3 |
7,292 |
|
0 |
79 |
about 2 years ago |
80 |
November 17, 2023 |
82 |
mit |
Python |
| PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms. |
| thu-ml/tianshou |
7,125 |
|
0 |
10 |
about 2 years ago |
33 |
August 22, 2023 |
97 |
mit |
Python |
| An elegant PyTorch deep reinforcement learning library. |
| pytorch/captum |
4,393 |
|
0 |
59 |
about 2 years ago |
10 |
December 05, 2023 |
199 |
bsd-3-clause |
Python |
| Model interpretability and understanding for PyTorch |
| vwxyzjn/cleanrl |
3,947 |
|
0 |
0 |
about 2 years ago |
0 |
|
49 |
other |
Python |
| High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG) |
| RUCAIBox/RecBole |
3,038 |
|
0 |
2 |
about 2 years ago |
10 |
October 31, 2023 |
213 |
mit |
Python |
| A unified, comprehensive and efficient recommendation library |
| sweetice/Deep-reinforcement-learning-with-pytorch |
2,741 |
|
0 |
0 |
about 3 years ago |
0 |
|
26 |
mit |
Python |
| PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and .... |
| seungeunrho/minimalRL |
2,417 |
|
0 |
0 |
almost 3 years ago |
0 |
|
21 |
mit |
Python |
| Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) |
| learnables/learn2learn |
2,283 |
|
0 |
1 |
almost 3 years ago |
19 |
February 10, 2022 |
13 |
mit |
Python |
| A PyTorch Library for Meta-learning Research |
| aws/sagemaker-python-sdk |
1,994 |
|
14 |
76 |
about 2 years ago |
554 |
November 30, 2023 |
272 |
apache-2.0 |
Python |
| A library for training and deploying machine learning models on Amazon SageMaker |