Alternatives and similar repositories for mixed-precision-from-scratch

Users that are interested in mixed-precision-from-scratch are comparing it to the libraries listed below

• gpu-mode / ring-attention
  ring-attention experiments
  ☆155Updated last year
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆95Updated last month
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 3 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆308Updated last week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆264Updated last month
• gpu-mode / profiling-cuda-in-torch
  ☆174Updated last year
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆120Updated last week
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆223Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆246Updated this week
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆102Updated 3 weeks ago
• Dao-AILab / grouped-latent-attention
  ☆130Updated 5 months ago
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆125Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆159Updated 6 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆119Updated 11 months ago
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆63Updated last week
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆118Updated last year
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆147Updated last year
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆58Updated 2 weeks ago
• mgmalek / efficient_cross_entropy
  ☆121Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆301Updated 2 months ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆388Updated last week
• vedantroy / gpu_kernels
  ☆27Updated last year
• daniel-geon-park / triton_bwd
  Automatic differentiation for Triton Kernels
  ☆13Updated 2 months ago
• meta-pytorch / BackendBench
  How to ensure correctness and ship LLM generated kernels in PyTorch
  ☆111Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆233Updated 5 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆85Updated last year
• MDK8888 / vllmini
  A minimal implementation of vllm.
  ☆60Updated last year
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆58Updated 3 weeks ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆202Updated 4 months ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆73Updated last year