Alternatives and similar repositories for MODel_opt

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

• cchan / tccl
  extensible collectives library in triton
  ☆95Updated 10 months ago
• stanford-futuredata / stk
  ☆115Updated last year
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆178Updated 2 weeks ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆286Updated last week
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆64Updated 3 weeks ago
• Jokeren / triton-samples
  ☆28Updated last year
• meta-pytorch / BackendBench
  Ship correct and fast LLM kernels to PyTorch
  ☆140Updated 3 weeks ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆82Updated 2 years ago
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆315Updated 5 months ago
• meta-pytorch / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆324Updated this week
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆292Updated 5 months ago
• gpu-mode / kernelbot
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆71Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆219Updated last week
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆164Updated 3 weeks ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆125Updated last year
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆26Updated 6 months ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆160Updated 2 years ago
• dropbox / gemlite
  Fast low-bit matmul kernels in Triton
  ☆427Updated last week
• open-lm-engine / accelerated-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆75Updated this week
• albanD / subclass_zoo
  ☆189Updated last year
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• triton-lang / kernels
  ☆104Updated last year
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels
  ☆194Updated this week
• meta-pytorch / superblock
  A block oriented training approach for inference time optimization.
  ☆34Updated last year
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆81Updated 3 weeks ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆127Updated last year