Alternatives and similar repositories for substation:

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

• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆130Updated 2 years ago
• zhuohan123 / terapipe
  ☆70Updated 3 years ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆41Updated last year
• stanford-futuredata / stk
  ☆97Updated 5 months ago
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆37Updated 2 years ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆102Updated 2 months ago
• awslabs / slapo
  A schedule language for large model training
  ☆143Updated 7 months ago
• HPDL-Group / Merak
  ☆79Updated 2 months ago
• microsoft / SparTA
  ☆134Updated 6 months ago
• awslabs / raf
  ☆141Updated this week
• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆48Updated 2 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆62Updated 10 months ago
• microsoft / varuna
  ☆245Updated 6 months ago
• google-research / sputnik
  A library of GPU kernels for sparse matrix operations.
  ☆252Updated 4 years ago
• triton-lang / kernels
  ☆64Updated 2 months ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆87Updated 3 weeks ago
• mlcommons / training_results_v1.0
  This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
  ☆37Updated 11 months ago
• xuqifan897 / Optimus
  ☆26Updated 3 years ago
• ColfaxResearch / cutlass-kernels
  ☆180Updated 6 months ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆153Updated last month
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆63Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆55Updated 3 years ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆190Updated last year
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆73Updated 4 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆49Updated 6 years ago
• guanh01 / CS692-mlsys
  This is the (evolving) reading list for the seminar.
  ☆57Updated 4 years ago
• AlibabaResearch / flash-llm
  Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity
  ☆195Updated last year
• awslabs / lorien
  ☆44Updated last year
• ParCIS / Chimera
  Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.
  ☆52Updated last year