BobMcDear / attorchLinks
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
☆582Updated 3 months ago
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☆395Updated 3 weeks ago
- Cataloging released Triton kernels.☆267Updated 2 months ago
- ☆247Updated this week
- A Quirky Assortment of CuTe Kernels☆653Updated 3 weeks ago
- Applied AI experiments and examples for PyTorch☆305Updated 2 months ago
- This repository contains the experimental PyTorch native float8 training UX☆223Updated last year
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆620Updated this week
- ☆178Updated last year
- Helpful tools and examples for working with flex-attention☆1,053Updated last week
- Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch☆544Updated 6 months ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆244Updated 6 months ago
- Pipeline Parallelism for PyTorch☆784Updated last year
- Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)☆452Updated last week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆272Updated 2 weeks ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆968Updated 10 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆286Updated this week
- kernels, of the mega variety☆599Updated last month
- ☆337Updated 2 weeks ago
- KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA (+ more DSLs)☆663Updated this week
- Learn CUDA with PyTorch☆111Updated this week
- ring-attention experiments☆155Updated last year
- LLM KV cache compression made easy☆688Updated last week
- Collection of kernels written in Triton language☆167Updated 7 months ago
- Load compute kernels from the Hub☆327Updated last week
- Large Context Attention☆749Updated last month
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆216Updated last week
- Annotated version of the Mamba paper☆489Updated last year
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆150Updated 2 years ago
- FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores☆331Updated 10 months ago
- An open-source efficient deep learning framework/compiler, written in python.☆736Updated 2 months ago