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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

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