abhishekkrthakur/tez
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch. observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2119
- days_rel: n/a
- days_push: 1312
- n_releases_24m: 0
Adoption not part of the score
1155 stars · 139 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Tez is a lightweight, simple trainer library for PyTorch that simplifies training loops while keeping users close to native PyTorch. It supports CPU, single GPU, multi-GPU, and TPU training and includes utilities covering most deep learning project needs.
Use cases
- simplify pytorch training loops
- train neural networks on multiple gpus
- quickly prototype deep learning models
- train pytorch models on tpu
- reduce boilerplate in pytorch projects
When to choose
- you want a minimal PyTorch trainer without heavy abstraction
- you need fast prototyping with customizable training
- you want CPU, GPU, multi-GPU, and TPU support in one lightweight library
When to avoid
- you need a feature-rich framework like PyTorch Lightning with an active ecosystem
- you require long-term stability, as the project is early-stage with possible breaking changes
- you want to contribute via pull requests, which are currently not accepted
Facets
library · maturity maintenance
machine-learning deep-learning llm-training deep-learning machine-learning developer-tools python cross-platform pytorch training-loop trainer neural-networks tpu-support lightweight-wrapper gpu
2 sources
- readme: https://github.com/abhishekkrthakur/tez · fetched 2026-08-28 · 1a870113e800
- registry_pypi: https://pypi.org/pypi/tez/json · fetched 2026-08-29 · ab19996cdbbe
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| abhishekkrthakur/tez | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="abhishekkrthakur/tez")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem