Alternatives and similar repositories for float8_experimental

Users that are interested in float8_experimental are comparing it to the libraries listed below

• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆265Updated 2 weeks ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆299Updated this week
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆124Updated this week
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆214Updated 5 months ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆158Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆204Updated 2 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆195Updated this week
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆244Updated this week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆536Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆221Updated 4 months ago
• stanford-futuredata / stk
  ☆104Updated 8 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆86Updated last month
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆125Updated 5 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆187Updated 11 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆122Updated last month
• gpu-mode / ring-attention
  ring-attention experiments
  ☆142Updated 6 months ago
• pytorch-labs / helion
  A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
  ☆132Updated this week
• huggingface / kernels
  Load compute kernels from the Hub
  ☆119Updated last week
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆248Updated 6 months ago
• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆209Updated 8 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆89Updated 2 weeks ago
• mgmalek / efficient_cross_entropy
  ☆106Updated 11 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆204Updated last year
• ColfaxResearch / cutlass-kernels
  ☆202Updated 10 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆155Updated last year
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆384Updated 5 months ago
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆370Updated this week
• MekkCyber / CutlassAcademy
  A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS
  ☆173Updated last week
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆265Updated 3 years ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆308Updated 10 months ago