Project Title

TensorLayer — A TensorFlow-based Deep Learning and Reinforcement Learning Library for Scientists and Engineers

Overview

TensorLayer is a high-performance, flexible, and easy-to-use deep learning and reinforcement learning library built on top of TensorFlow. It is designed specifically for researchers and engineers, offering a wide range of customizable neural layers to quickly build advanced AI models. TensorLayer stands out for its simplicity, flexibility, and extensive collection of tutorials and applications, making it a valuable resource for the AI community.

Key Features

High-level layer/model abstraction for effortless learning and usage
Extensive collection of customizable neural layers for building advanced AI models
Support for TensorFlow 2.0 and beyond
Integration with various hardware, including Nvidia-GPU and Huawei-Ascend

Use Cases

Researchers and engineers building and prototyping deep learning models
Educational purposes, with a wealth of tutorials and applications available
Deployment of AI models on various hardware platforms

Advantages

Simplicity and ease of learning, allowing quick onboarding for new users
Flexibility in model building with a wide range of customizable layers
Active community support with numerous tutorials and applications
Awarded the 2017 Best Open Source Software by the ACM Multimedia Society

Limitations / Considerations

The project's license is currently unknown, which might affect its usage in certain contexts
As a TensorFlow-based library, it may not be suitable for projects requiring other deep learning frameworks

TensorFlow: A comprehensive and widely-used open-source machine learning framework that TensorLayer is built upon.
Keras: A high-level neural networks API, written in Python and capable of running on top of TensorFlow, Theano, or CNTK. It is known for being user-friendly and modular.
PyTorch: An open-source machine learning library for Python, used for applications such as computer vision and natural language processing, known for its dynamic computation graph.

Basic Information

GitHub: https://github.com/tensorlayer/TensorLayer
Stars: 7,376
License: Unknown
Last Commit: 2025-11-13

📊 Project Information

Project Name: TensorLayer
GitHub URL: https://github.com/tensorlayer/TensorLayer
Programming Language: Python
⭐ Stars: 7,376
🍴 Forks: 1,604
📅 Created: 2016-06-07
🔄 Last Updated: 2025-11-13

🏷️ Project Topics

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