Home / Skills / TensorLayer

tensorlayer/TensorLayer

tensorlayer / TensorLayer

Dev Agents & ProgramsPythonCustom
View on GitHub

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

7.4kstars
1.6kforks
38open issues
2023-02-18last pushed
Customlicense

What it is, and how people use it

Deep Learning and Reinforcement Learning Library for Scientists and Engineers It sits on the Dev Agents & Programs shelf of the catalog, maintained by @tensorlayer.

✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
a3cartificial-intelligencechatbotdeep-learningdqn
tensorlayerx.com

Why builders keep it installedDev Agents & Programs benefits

Day-one leverage

These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.

Composes with your agent

Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.

Built under real workloads

Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.

Free and open source

Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.

Contributorsloading from GitHub…

TEtensodev1115TEtensodev2103TEtensodev392TEtensodev480TEtensodev569TEtensodev657TEtensodev746TEtensodev834

Languagesestimated from snapshot

  • Python 73.0%
  • Rust 15.0%
  • Shell 12.0%

Community pulsesnapshot ratios, normalized

starsforksissues ×3watchers