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.
  ☆204Updated 2 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆267Updated this week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆222Updated 7 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆191Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆189Updated this week
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆234Updated last month
• ColfaxResearch / cutlass-kernels
  ☆191Updated 8 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆114Updated last month
• stanford-futuredata / stk
  ☆101Updated 6 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆84Updated 6 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆240Updated 4 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆298Updated 8 months ago
• triton-lang / kernels
  ☆73Updated 4 months ago
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆234Updated this week
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆199Updated 2 weeks ago
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆253Updated 9 months ago
• yifuwang / symm-mem-recipes
  ☆55Updated 2 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆127Updated 5 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆74Updated 4 months ago
• RulinShao / LightSeq
  Official repository for LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers
  ☆207Updated 7 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆104Updated this week
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆317Updated this week
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆208Updated 3 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆101Updated 8 months ago
• sail-sg / zero-bubble-pipeline-parallelism
  Zero Bubble Pipeline Parallelism
  ☆373Updated 2 weeks ago
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆325Updated last month
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆152Updated 9 months ago
• InternLM / turbomind
  ☆74Updated 3 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆232Updated 2 weeks ago