Alternatives and similar repositories for dear_pytorch

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

• bytedance / QSync
  Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".
  ☆20Updated last year
• DachengLi1 / AMP
  (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
  ☆40Updated 2 years ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 4 years ago
• casys-kaist / EnvPipe
  ☆25Updated 2 years ago
• Youhe-Jiang / IJCAI2023-OptimalShardedDataParallel
  [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…
  ☆52Updated 2 years ago
• sjtu-epcc / DVABatch
  ☆20Updated 3 years ago
• HKBU-HPML / ddl-benchmarks
  ddl-benchmarks: Benchmarks for Distributed Deep Learning
  ☆36Updated 5 years ago
• osayamenja / Kleos
  Complete GPU residency for ML.
  ☆38Updated last month
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆41Updated 2 years ago
• zhuohan123 / terapipe
  ☆75Updated 4 years ago
• google / iopddl
  Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning
  ☆23Updated 3 months ago
• awslabs / ratex
  ☆23Updated last week
• SymbioticLab / ModelKeeper
  A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup
  ☆35Updated 2 years ago
• zhuzilin / pytorch-malloc
  An external memory allocator example for PyTorch.
  ☆15Updated 3 weeks ago
• jiazhihao / attention_superoptimizer
  An Attention Superoptimizer
  ☆22Updated 7 months ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆66Updated 5 months ago
• msr-fiddle / dnn-partitioning
  ☆40Updated 4 years ago
• SJTU-IPADS / disb
  DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.
  ☆53Updated last year
• SymbioticLab / Oobleck
  A resilient distributed training framework
  ☆94Updated last year
• HPDL-Group / Merak
  ☆81Updated 3 months ago
• thu-pacman / FasterMoE
  ☆85Updated 3 years ago
• geoffxy / habitat
  🔮 Execution time predictions for deep neural network training iterations across different GPUs.
  ☆63Updated 2 years ago
• comaniac / epoi
  Benchmark PyTorch Custom Operators
  ☆14Updated 2 years ago
• hao-ai-lab / MuxServe
  ☆69Updated last year
• ByteDance-Seed / StragglerAnalysis
  ☆40Updated 4 months ago
• BaguaSys / bagua-net
  High performance NCCL plugin for Bagua.
  ☆15Updated 3 years ago
• microsoft / SuperScaler
  An experimental parallel training platform
  ☆54Updated last year
• xuqifan897 / Optimus
  ☆28Updated 4 years ago
• uwsampl / SparseTIR
  SparseTIR: Sparse Tensor Compiler for Deep Learning
  ☆137Updated 2 years ago
• microsoft / nnscaler
  nnScaler: Compiling DNN models for Parallel Training
  ☆115Updated last week