Alternatives and similar repositories for applied-ai

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

• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆423Updated last month
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆287Updated 4 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆312Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆273Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆218Updated this week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆174Updated 9 months ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆140Updated 7 months ago
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆761Updated this week
• ColfaxResearch / cutlass-kernels
  ☆258Updated last year
• Dao-AILab / sonic-moe
  Accelerating MoE with IO and Tile-aware Optimizations
  ☆553Updated this week
• cchan / tccl
  extensible collectives library in triton
  ☆93Updated 9 months ago
• yifuwang / symm-mem-recipes
  ☆157Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆276Updated 6 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆248Updated 8 months ago
• flagos-ai / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆287Updated last year
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆278Updated last month
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆260Updated 3 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆161Updated last year
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆652Updated 3 months ago
• triton-lang / kernels
  ☆101Updated last year
• meta-pytorch / KernelAgent
  Autonomous GPU Kernel Generation via Deep Agents
  ☆217Updated this week
• stanford-futuredata / stk
  ☆115Updated last year
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆130Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆333Updated last year
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆161Updated 2 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆272Updated 3 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆594Updated 5 months ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆75Updated this week
• pytorch / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆721Updated this week