Alternatives and similar repositories for calm

Users that are interested in calm are comparing it to the libraries listed below

• andrewkchan / yalm
  Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O
  ☆528Updated 2 months ago
• HazyResearch / Megakernels
  kernels, of the mega variety
  ☆599Updated last month
• tspeterkim / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆968Updated 10 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆392Updated 2 weeks ago
• perplexityai / pplx-kernels
  Perplexity GPU Kernels
  ☆528Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆246Updated last week
• Dao-AILab / quack
  A Quirky Assortment of CuTe Kernels
  ☆651Updated 2 weeks ago
• pranjalssh / fast.cu
  Fastest kernels written from scratch
  ☆391Updated last month
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆303Updated 2 months ago
• NVIDIA / tilus
  Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
  ☆396Updated last week
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆708Updated 3 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆946Updated last year
• ROCm / aiter
  AI Tensor Engine for ROCm
  ☆298Updated this week
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆775Updated 8 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆912Updated 2 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆265Updated 2 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆109Updated 9 months ago
• triton-lang / triton-cpu
  An experimental CPU backend for Triton
  ☆157Updated 2 weeks ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆582Updated 3 months ago
• microsoft / ArchProbe
  A profiler to disclose and quantify hardware features on GPUs.
  ☆174Updated 3 years ago
• kuterd / nv_isa_solver
  Nvidia Instruction Set Specification Generator
  ☆297Updated last year
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆361Updated 9 months ago
• gpu-mode / reference-kernels
  Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!
  ☆140Updated this week
• salykova / sgemm.c
  Multi-Threaded FP32 Matrix Multiplication on x86 CPUs
  ☆367Updated 6 months ago
• mirage-project / mirage
  Mirage Persistent Kernel: Compiling LLMs into a MegaKernel
  ☆1,942Updated this week
• neuralmagic / AutoFP8
  ☆205Updated 6 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆271Updated 4 months ago
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆636Updated 2 weeks ago
• IST-DASLab / QUIK
  Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024
  ☆183Updated last year
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆204Updated this week