BobMcDear / attorch
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
Why this job: works in the areas we cover, but does not say which job it does
What it does
There already exist a number of wonderful PyTorch-like frameworks powered by Triton, including kernl, xFormers, Unsloth, and fla, but most concentrate mainly on Transformers and NLP applications, whereas attorch aims to be more inclusive by also presenting a variety of layers pertaining to areas beyond NLP, such as computer vision. Moreover, attorch is not an inference-only package and fully supports both forward and backward passes, meaning it can be used during training as well as inference, though its performance for the latter is generally not on par with dedicated inference engines.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 3 months ago
- Stars
- 607
- +2 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 3 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- cuda
- deep-learning
- machine-learning
- pytorch
- triton
- openai
- openai-triton
Project record
- JobOther AI tools
- StatusListed
- Commits220
- Forks34
- Watching9
- Stars in 28 days+2
- CreatedJul 13, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
