tensorlayer/TensorLayer

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

7381 stars · 1584 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

TensorLayer is a TensorFlow-based deep learning and reinforcement learning library offering customizable neural layers for researchers and engineers, with extensive tutorials and example applications. Its successor, TensorLayerX, extends the same API across multiple backends including TensorFlow, PyTorch, PaddlePaddle, MindSpore, OneFlow, and Jittor.

Use cases

• build and train neural networks on tensorflow with a high-level layer API
• implement reinforcement learning algorithms like DQN and A3C
• train GANs for image generation
• run object detection and imagenet classification experiments
• learn deep learning through tutorials and example code
• write backend-agnostic deep learning code with tensorlayerx

When to choose

• you work in TensorFlow and want a researcher-friendly high-level API
• you need reference implementations of RL algorithms or GANs
• you want cross-framework portability via TensorLayerX

When to avoid

• you need a library with active development and recent releases
• you prefer PyTorch-native tooling
• you need production-grade serving rather than research prototyping

Facets

library · maturity maintenance

deep-learning machine-learning reinforcement-learning llm-training deep-learning machine-learning reinforcement-learning artificial-intelligence computer-vision python cross-platform tensorflow neural-networks gan reinforcement-learning tutorials high-level-api natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensorlayer/TensorLayer")