BobMcDear / attorchLinks
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
☆577Updated last month
Alternatives and similar repositories for attorch
Users that are interested in attorch are comparing it to the libraries listed below
Sorting:
- Fast low-bit matmul kernels in Triton☆376Updated last week
- Applied AI experiments and examples for PyTorch☆296Updated last month
- A Quirky Assortment of CuTe Kernels☆603Updated last week
- Cataloging released Triton kernels.☆261Updated last month
- ☆242Updated last week
- This repository contains the experimental PyTorch native float8 training UX☆224Updated last year
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆539Updated 4 months ago
- Helpful tools and examples for working with flex-attention☆997Updated last month
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆230Updated 5 months ago
- ☆173Updated last year
- Annotated version of the Mamba paper☆489Updated last year
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆269Updated 2 months ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems☆592Updated this week
- ☆333Updated 3 weeks ago
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆414Updated last week
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆252Updated this week
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆328Updated this week
- Flash Attention in ~100 lines of CUDA (forward pass only)☆940Updated 9 months ago
- Collection of kernels written in Triton language☆157Updated 6 months ago
- Pipeline Parallelism for PyTorch☆781Updated last year
- kernels, of the mega variety☆563Updated last week
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆213Updated last week
- LLM KV cache compression made easy☆642Updated this week
- ring-attention experiments☆152Updated 11 months ago
- An open-source efficient deep learning framework/compiler, written in python.☆731Updated last month
- Load compute kernels from the Hub☆293Updated last week
- Fastest kernels written from scratch☆366Updated 3 weeks ago
- ☆531Updated 2 weeks ago
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆143Updated last year
- Learn CUDA with PyTorch☆85Updated 2 weeks ago