Alternatives and similar repositories for autodist

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

• petuum / adaptdl
  Resource-adaptive cluster scheduler for deep learning training.
  ☆443Updated 2 years ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆41Updated 2 years ago
• spcl / substation
  Research and development for optimizing transformers
  ☆128Updated 4 years ago
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• awslabs / lorien
  ☆43Updated last year
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆258Updated 2 years ago
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆76Updated 4 years ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 3 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆89Updated 4 years ago
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 3 years ago
• UofT-EcoSystem / hfta
  Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion
  ☆32Updated last year
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆131Updated 3 years ago
• awslabs / raf
  ☆144Updated 4 months ago
• VoVAllen / tf-dlpack
  DLPack for Tensorflow
  ☆35Updated 5 years ago
• SymbioticLab / Salus
  Fine-grained GPU sharing primitives
  ☆141Updated 5 years ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆157Updated 6 months ago
• mlcommons / training_results_v0.7
  This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.
  ☆56Updated 2 years ago
• msr-fiddle / pipedream
  ☆391Updated 2 years ago
• facebookresearch / DLRM-FlexFlow
  Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies)…
  ☆29Updated 3 years ago
• HKBU-HPML / ddl-benchmarks
  ddl-benchmarks: Benchmarks for Distributed Deep Learning
  ☆37Updated 5 years ago
• tbd-ai / tbd-suite
  ☆47Updated 2 years ago
• mlcommons / training_results_v1.0
  This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.
  ☆38Updated last year
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• geoffxy / habitat
  🔮 Execution time predictions for deep neural network training iterations across different GPUs.
  ☆62Updated 2 years ago
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆39Updated 2 years ago
• mlcommons / training_results_v0.5
  This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.
  ☆35Updated last month
• NVIDIA / LDDL
  Distributed preprocessing and data loading for language datasets
  ☆39Updated last year
• linnanwang / superneurons-release
  this is the release repository of superneurons
  ☆52Updated 4 years ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆116Updated 10 months ago
• zhuohan123 / terapipe
  ☆74Updated 4 years ago