hwang595 / PyTorch-parameter-server

Related projects ⓘ

Alternatives and complementary repositories for PyTorch-parameter-server

• sands-lab / grace
  GRACE - GRAdient ComprEssion for distributed deep learning
  ☆138Updated 3 months ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 5 years ago
• HKBU-HPML / ddl-benchmarks
  ddl-benchmarks: Benchmarks for Distributed Deep Learning
  ☆37Updated 4 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆35Updated 5 years ago
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated last year
• epfml / LocalSGD-Code
  ☆43Updated 4 years ago
• mlbench / mlbench-benchmarks
  Distributed ML Training Benchmarks
  ☆27Updated last year
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆213Updated 3 months ago
• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆25Updated 5 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 3 years ago
• JYWa / Overlap_Local_SGD
  Implementation of (overlap) local SGD in Pytorch
  ☆32Updated 4 years ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆54Updated 3 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆55Updated 6 years ago
• epfml / powersgd
  Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727
  ☆143Updated last week
• byteps / examples
  BytePS examples (Vision, NLP, GAN, etc)
  ☆19Updated last year
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆52Updated 3 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆73Updated 5 years ago
• stsievert / pytorch_ps_mpi
  PyTorch parameter server with MPI
  ☆16Updated 6 years ago
• hwang595 / Draco
  DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
  ☆23Updated 5 years ago
• wenwei202 / terngrad
  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
  ☆181Updated 5 years ago
• xldrx / tictac
  ☆20Updated 5 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆22Updated 4 years ago
• ganshaoduo / QSGD-TF
  QSGD-TF
  ☆21Updated 5 years ago
• stanford-mast / INFaaS
  Model-less Inference Serving
  ☆82Updated last year
• dhroth / sketchedsgd
  Sketched SGD
  ☆28Updated 4 years ago
• netx-repo / training-bottleneck
  Analyze network performance in distributed training
  ☆16Updated 4 years ago
• netx-repo / PipeSwitch
  PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications
  ☆124Updated 2 years ago
• uwsampl / nexus
  ☆82Updated 2 years ago
• srQ-cpc / D-PSGD
  Algorithm: Decentralized Parallel Stochastic Gradient Descent
  ☆41Updated 6 years ago
• anandj91 / p3
  ☆21Updated last year