open-lm-engine / flash-model-architecturesLinks
A bunch of kernels that might make stuff slower 😉
☆62Updated this week
Alternatives and similar repositories for flash-model-architectures
Users that are interested in flash-model-architectures are comparing it to the libraries listed below
Sorting:
- extensible collectives library in triton☆89Updated 6 months ago
- Collection of kernels written in Triton language☆157Updated 6 months ago
- ring-attention experiments☆154Updated last year
- ☆92Updated 11 months ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆264Updated this week
- Fast low-bit matmul kernels in Triton☆381Updated 3 weeks ago
- Cataloging released Triton kernels.☆263Updated last month
- ☆240Updated this week
- ☆112Updated last year
- Applied AI experiments and examples for PyTorch☆299Updated 2 months ago
- This repository contains the experimental PyTorch native float8 training UX☆223Updated last year
- The simplest but fast implementation of matrix multiplication in CUDA.☆39Updated last year
- Triton-based Symmetric Memory operators and examples☆38Updated this week
- Triton-based implementation of Sparse Mixture of Experts.☆246Updated 3 weeks ago
- PyTorch bindings for CUTLASS grouped GEMM.☆124Updated 4 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆116Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆119Updated 3 weeks ago
- Framework to reduce autotune overhead to zero for well known deployments.☆84Updated last month
- a minimal cache manager for PagedAttention, on top of llama3.☆124Updated last year
- Explore training for quantized models☆25Updated 3 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆83Updated last year
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆389Updated this week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆100Updated 3 months ago
- ☆130Updated 4 months ago
- ☆28Updated 9 months ago
- ☆158Updated 2 years ago
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆233Updated 5 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆215Updated this week
- Learn CUDA with PyTorch☆92Updated 3 weeks ago
- Personal solutions to the Triton Puzzles☆20Updated last year