Alternatives and similar repositories for kernels

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

• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆280Updated 2 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆333Updated 2 months ago
• huggingface / kernel-builder
  👷 Build compute kernels
  ☆214Updated last week
• huggingface / picotron_tutorial
  ☆229Updated 2 months ago
• meta-pytorch / torchft
  Fault tolerance for PyTorch (HSDP, LocalSGD, DiLoCo, Streaming DiLoCo)
  ☆472Updated 2 weeks ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆195Updated 7 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆178Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆163Updated last year
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆197Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆218Updated this week
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆262Updated 3 months ago
• mgmalek / efficient_cross_entropy
  ☆124Updated last year
• NVIDIA-NeMo / Automodel
  Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
  ☆259Updated this week
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆394Updated 7 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆229Updated 7 months ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆314Updated 5 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆231Updated 10 months ago
• apple / ml-cross-entropy
  ☆578Updated 4 months ago
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆549Updated 8 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆273Updated this week
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆423Updated last month
• vllm-project / tpu-inference
  TPU inference for vLLM, with unified JAX and PyTorch support.
  ☆216Updated this week
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆355Updated 8 months ago
• vllm-project / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆237Updated this week
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆306Updated last month
• Dao-AILab / sonic-moe
  Accelerating MoE with IO and Tile-aware Optimizations
  ☆553Updated last week
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆594Updated 5 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…
  ☆146Updated last year
• microsoft / dion
  Dion optimizer algorithm
  ☆420Updated last week