tinygrad
5 likes
This may not be the best deep learning framework, but it is a deep learning framework.
Cost / License
- Free
- Open Source
Platforms
- Mac
- Windows
- Linux
- BSD
- Python
Features
- Python-based
Tags
- llama
- Python
- deep-learning
- development-framework
- ai-development
- Stable Diffusion
- Software Framework
tinygrad News & Activities
Highlights All activities
Recent News
No news, maybe you know any news worth sharing?
Share a News TipRecent activities
No activities found.
tinygrad information
Developed by
tinygrad Licensing
Open Source (MIT) and Free product.Written in
Alternatives
10 alternatives listedSupported Languages
- English
AlternativeTo Category
DevelopmentGitHub repository
- 30,827 Stars
- 3,765 Forks
- 193 Open Issues
- Updated
No comments or reviews, maybe you want to be first?
Post comment/reviewWhat is tinygrad?
This may not be the best deep learning framework, but it is a deep learning framework.
Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.
Features:
- LLaMA and Stable Diffusion: tinygrad can run LLaMA and Stable Diffusion!
- Laziness: Try a matmul. See how, despite the style, it is fused into one kernel with the power of laziness.
- Neural networks: As it turns out, 90% of what you need for neural networks are a decent autograd/tensor library. Throw in an optimizer, a data loader, and some compute, and you have all you need.