Tinygrad
A minimalist deep learning framework designed to be simple and easy to understand, inspired by pytorch and micrograd.
Tinygrad is built in Python, distributed under the MIT License, 32.3k GitHub stars from 100 contributors, latest release v0.12.0.
When to use Tinygrad
Tinygrad is listed here as a Development project. The directory calls out Lightweight framework, Inspired by PyTorch, Easy to understand as capabilities associated with it.
Other recorded traits for Tinygrad include Highly extensible, GPU acceleration.
Besides Development, this page also files Tinygrad under AI, Data Science.
Tinygrad compared with
Records in this directory name PyTorch, TensorFlow, Keras as products people compare with Tinygrad. That list is editorial metadata, not a claim that Tinygrad replaces each of them.
What the Tinygrad stats reflect
GitHub currently shows 32.3k GitHub stars, about 100 contributors, 4.0k forks, 184 open issues, latest tracked release v0.12.0. Star and activity counts here are a snapshot used as a proxy for community adoption, not a quality score.
Stats refreshed
- Language
- Python
- Latest Release
- v0.12.0
- License
- MIT License
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Key features of Tinygrad
- Lightweight framework
- Inspired by PyTorch
- Easy to understand
- Highly extensible
- GPU acceleration
Recorded alternatives to Tinygrad
Tinygrad resources
Tinygrad on GitHub
Frequently asked questions
What is Tinygrad?
A minimalist deep learning framework designed to be simple and easy to understand, inspired by pytorch and micrograd. This directory highlights Lightweight framework, Inspired by PyTorch, Easy to understand.
Is Tinygrad free to use?
Tinygrad is published as open source under the MIT License. The directory lists Lightweight framework, Inspired by PyTorch, Easy to understand among its recorded capabilities.
What language is Tinygrad written in, and what is the latest release?
Tinygrad is written primarily in Python. The latest release tracked on this page is v0.12.0.
How widely is Tinygrad used on GitHub?
Tinygrad has about 32.3k GitHub stars across about 100 contributors. It also has about 4.0k forks. Those counts are a snapshot of community attention, not a ranking of quality.
What do people compare Tinygrad with?
This directory records PyTorch, TensorFlow, Keras as comparison points for Tinygrad.
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