tensorflow/tpu
Reference models and tools for Cloud TPUs. observed · 2026-08-28
Health v2 · maintenance only
72/100
- Activity 88
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3340
- days_rel: n/a
- days_push: 72
- n_releases_24m: 0
Adoption not part of the score
5278 stars · 1752 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A collection of reference models and tools for training machine learning models on Google Cloud TPUs, maintained as a public mirror by the TensorFlow team. It includes tutorials and utilities such as ctpu for getting started with Cloud TPU workflows.
Use cases
- train models on cloud tpus
- learn how to use google cloud tpu
- find reference tensorflow models for tpu
- set up a tpu training environment
- benchmark models on tpu hardware
When to choose
- you are training TensorFlow models on Google Cloud TPUs
- you want official reference implementations tuned for TPU hardware
- you need a guided tutorial to get started with Cloud TPU
When to avoid
- you are training on GPUs or CPUs rather than TPUs
- you use PyTorch or JAX instead of TensorFlow
- you want to contribute pull requests, since the repo is a read-only mirror
Facets
library · maturity maintenance
machine-learning deep-learning llm-training gpu-computing benchmarking deep-learning machine-learning cloud-computing developer-tools python cloud tpu tensorflow google-cloud reference-models jupyter-notebook linux
2 sources
- readme: https://github.com/tensorflow/tpu · fetched 2026-08-28 · 20b34ed50cbf
- homepage: https://cloud.google.com/tpu/ · fetched 2026-08-29 · f6b88db53538
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| tensorflow/tpu | main | 72 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem