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
  ☆165Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 6 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆291Updated 4 months ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• tspeterkim / paged-attention-minimal
  a minimal cache manager for PagedAttention, on top of llama3.
  ☆133Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆175Updated 9 months ago
• Dao-AILab / grouped-latent-attention
  ☆132Updated 8 months ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆119Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆120Updated last year
• huggingface / kernels
  Load compute kernels from the Hub
  ☆381Updated last week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆219Updated this week
• vdesai2014 / inference-optimization-blog-post
  ☆92Updated last year
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆75Updated last week
• IST-DASLab / Quartet
  ☆117Updated 3 weeks ago
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆185Updated last week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆424Updated this week
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆263Updated 3 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆93Updated last year
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆314Updated 5 months ago
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆250Updated 8 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆277Updated this week
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆80Updated 2 weeks ago
• vedantroy / gpu_kernels
  ☆27Updated 2 years ago
• vllm-project / tpu-inference
  TPU inference for vLLM, with unified JAX and PyTorch support.
  ☆223Updated this week
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆114Updated this week
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆148Updated last year
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆139Updated 2 weeks ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆131Updated last year
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 7 months ago