Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
| Date | Stars |
|---|---|
| 2026-07-24 | 7383 |
| 2026-07-25 | 7383 |
| 2026-07-28 | 7383 |
| 2026-07-30 | 7383 |
| 2026-07-31 | 7385 |
| 2026-08-05 | 7385 |
| 2026-08-06 | 7385 |
Today
— stars today
This week
+2 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.03%/day
<a href="https://tensorlayer.readthedocs.io/">
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<!--- [](https://badge.fury.io/py/tensorlayer) --->
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[](https://github.com/tensorflow/tensorflow/releases)
[](https://tensorlayer.readthedocs.io/)
[](https://travis-ci.org/tensorlayer/tensorlayer)
[](http://pepy.tech/project/tensorlayer)
[](https://pepy.tech/project/tensorlayer/week)
[](https://hub.docker.com/r/tensorlayer/tensorlayer/)
[](https://www.codacy.com/app/tensorlayer/tensorlayer)
<!--- [](https://circleci.com/gh/tensorlayer/tensorlayer/tree/master) --->
<!--- [](https://tensorlayercn.readthedocs.io/)
<!--- [](https://pyup.io/repos/github/tensorlayer/tensorlayer/) --->
# Please click [TensorLayerX](https://github.com/tensorlayer/tensorlayerx) 🔥🔥🔥
[TensorLayer](https://tensorlayer.readthedocs.io) is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides an extensive collection of customizable neural layers to build advanced AI models quickly, based on this, the community open-sourced mass [tutorials](https://github.com/tensorlayer/tensorlayer/blob/master/examples/reinforcement_learning/README.md) and [applications](https://github.com/tensorlayer). TensorLayer is awarded the 2017 Best Open Source Software by the [ACM Multimedia Society](https://twitter.com/ImperialDSI/status/923928895325442049).
This project can also be found at [OpenI](https://git.openi.org.cn/TensorLayer/tensorlayer3.0) and [Gitee](https://gitee.com/organizations/TensorLayer).
# News
- 🔥 [TensorLayerX](https://github.com/tensorlayer/tensorlayerx) is a Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS. The current version supports TensorFlow, Pytorch, MindSpore, PaddlePaddle, OneFlow and Jittor as the backends, allowing users to run the code on different hardware like Nvidia-GPU and Huawei-Ascend.
- TensorLayer is now in [OpenI](https://git.openi.org.cn/TensorLayer/tensorlayer3.0)
- Reinforcement Learning Zoo: [Low-level APIs](https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning) for professional usage, [High-level APIs](https://github.com/tensorlayer/RLzoo) for simple usage, and a corresponding [Springer textbook](http://springer.com/gp/book/9789811540943)
- [Sipeed Maxi-EMC](https://github.com/sipeed/Maix-EMC): Run TensorLayer models on the **low-cost AI chip** (e.g., K210) (Alpha Version)
<!-- 🔥 [NNoM](https://github.com/majianjia/nnom): Run TensorLayer quantized models on the **MCU** (e.g., STM32) (Coming Soon) -->
# Design Features
TensorLayer is a new deep learning library designed with simplicity, flexibility and high-performance in mind.
- ***Simplicity*** : TensorLayer has a high-level layer/model abstraction which is effortless to learn. You can learn how deep learning can benefit your AI tasks in minutes through the maExcerpt of 10,720 characters
Read on GitHub
Hao · Peking University · China
1.6k
Jingqing Zhang · Imperial College London, Pangaea Data · United Kingdom
225
Luo Mai · University of Edinburgh · United Kingdom
203
Rundi Wu · Google DeepMind · United States
161
Ruihai Wu · Peking University · China
154
Cheng Lai · Peng Cheng Laboratory · China
109
99
Zihan Ding
75
zhangrui · China
66
39
pyup.io bot · @pyupio
36
34
23
21
Yanhua Huang · Xiaohongshu · China
19
Fangde Liu · SurgicalAI · China
12
11
United States
9
9
8
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:65a70128802c5a55, topic:deep-learning, topic:neural-network, topic:tensorflow
matched fp:65a70128802c5a55, topic:reinforcement-learning, desc:reinforcement learning, readme:reinforcement learning