Alternatives and similar repositories for applied-ai

Users that are interested in applied-ai are comparing it to the libraries listed below

• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆251Updated 7 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆339Updated last week
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆202Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆227Updated last week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆207Updated this week
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆388Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆144Updated 4 months ago
• ColfaxResearch / cutlass-kernels
  ☆228Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆108Updated 2 months ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆260Updated 3 weeks ago
• cchan / tccl
  extensible collectives library in triton
  ☆88Updated 4 months ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆311Updated 4 months ago
• triton-lang / kernels
  ☆85Updated 9 months ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆276Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆147Updated 9 months ago
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆115Updated 11 months ago
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆212Updated this week
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆471Updated 2 months ago
• stanford-futuredata / stk
  ☆108Updated 11 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆319Updated last year
• yifuwang / symm-mem-recipes
  ☆106Updated 7 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆215Updated last year
• perplexityai / pplx-kernels
  Perplexity GPU Kernels
  ☆425Updated this week
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆258Updated 2 weeks ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆230Updated 8 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆113Updated last year
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆134Updated 3 weeks ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆208Updated 3 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆405Updated 2 months ago