Browse the original source code and commit history of TensorFlow.js before it merged into the combined tensorflow/tfjs repository.
Reference historical API decisions from the early TensorFlow.js core for research or migration purposes.
| tensorflow/tfjs-core | garmeeh/next-seo | hopding/pdf-lib | |
|---|---|---|---|
| Stars | 8,446 | 8,443 | 8,443 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | hard | easy | easy |
| Complexity | 1/5 | 2/5 | 2/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
This repository is archived and unmaintained, all active development is in tensorflow/tfjs, use that instead.
This repository is an archived predecessor to the main TensorFlow.js project. It originally housed the core layer of TensorFlow.js, a library for running machine learning models directly in a web browser using JavaScript. The code has since been moved into a combined repository at tensorflow/tfjs, inside a folder called tfjs-core, where all future development continues. The README is sparse because this repo is no longer active. No new contributions are accepted here. The full history of commits and contributions from this repository was carried over intact to the new location.
This is an archived predecessor to TensorFlow.js, the original browser-based machine learning library for JavaScript. All development has moved to the tensorflow/tfjs repository, no new contributions are accepted here.
Mainly TypeScript. The stack also includes TypeScript.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.