Alternatives and similar repositories for scattermoe

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

• RulinShao / LightSeq
  Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training
  ☆210Updated 10 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆99Updated 3 weeks ago
• stanford-futuredata / stk
  ☆105Updated 9 months ago
• FasterDecoding / TEAL
  ☆130Updated 4 months ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 10 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…
  ☆253Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆144Updated 8 months ago
• fla-org / flame
  🔥 A minimal training framework for scaling FLA models
  ☆170Updated last week
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆128Updated 2 months ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆163Updated 11 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆137Updated 10 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆322Updated this week
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆79Updated 9 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆277Updated 3 weeks ago
• Dao-AILab / grouped-latent-attention
  ☆114Updated 3 weeks ago
• epfml / dynamic-sparse-flash-attention
  ☆147Updated 2 years ago
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆68Updated 3 months ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆269Updated 6 months ago
• shadowpa0327 / Palu
  [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection
  ☆122Updated 4 months ago
• FasterDecoding / REST
  REST: Retrieval-Based Speculative Decoding, NAACL 2024
  ☆204Updated 6 months ago
• mit-han-lab / Quest
  [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference
  ☆295Updated 7 months ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• Dao-AILab / quack
  ☆63Updated this week
• FasterDecoding / SnapKV
  ☆254Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆310Updated 11 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆236Updated 5 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆358Updated 10 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆136Updated this week
• mgmalek / efficient_cross_entropy
  ☆108Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆204Updated this week