Home / Skills / TensorFlow-2.x-Tutorials

dragen1860/TensorFlow-2.x-Tutorials

dragen1860 / TensorFlow-2.x-Tutorials

Dev Agents & ProgramsJupyter NotebookUnknown

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

6.3kstars
2.2kforks
21open issues
2020-09-23last pushed
Unknownlicense

What it is, and how people use it

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。 It sits on the Dev Agents & Programs shelf of the catalog, maintained by @dragen1860.

✓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.
artificial-intelligencecomputer-visiondeep-learningmachine-learningneural-network

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…

Languagesestimated from snapshot

  • Jupyter Notebook 85.0%
  • Shell 11.2%
  • JavaScript 3.7%

Community pulsesnapshot ratios, normalized

starsforksissues ×3watchers