# jtoy/awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Repository: https://github.com/jtoy/awesome-tensorflow
Canonical: https://ross.abutalabs.com/products/awesome-tensorflow
License: CC0-1.0
License Family: permissive
Last push: 2026-02-08T17:13:47+00:00

## Health v2 (maintenance only)
Score: 62/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 66, release rhythm 35, longevity 100
- inputs: {"age_days": 3840, "days_push": 206, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17550, forks 2967 (observed 2026-08-28T04:11:19.987192+00:00)

## What it is
A curated list of TensorFlow resources including tutorials, models, libraries, tools, videos, papers, and books. It serves as a directory of learning materials and projects for the TensorFlow deep learning framework.

## Use cases
- find tensorflow tutorials for beginners
- discover deep learning projects built with tensorflow
- learn how to install tensorflow on raspberry pi
- find tensorflow books and papers
- locate example code for lstm and seq2seq models
- get started with tensorflow on android

## When to choose
- you want a curated index of TensorFlow learning resources
- you are starting with deep learning and need tutorials
- you want to discover TensorFlow libraries and tools

## When to avoid
- you need a runnable library or tool rather than a link list
- you use PyTorch or other frameworks
- you need up-to-date coverage of the latest TensorFlow APIs

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, developer-tools
- domain: machine-learning, deep-learning, tutorials, awesome-lists
- platform: python, cross-platform
- tags: awesome-list, tensorflow, curated-resources, tutorials

## Member repositories
- jtoy/awesome-tensorflow (main) score 62

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:19.987192+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:54.096298+00:00, confidence not recorded.
  - readme: https://github.com/jtoy/awesome-tensorflow (fetched 2026-08-28T04:11:19.987192+00:00, sha 2e52e2fa6ccc)
- Data as of 2026-08-30T08:39:29.467469+00:00.