Alternatives and similar repositories for QSGD-TF:

Users that are interested in QSGD-TF are comparing it to the libraries listed below

• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆25Updated 6 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆36Updated 5 years ago
• epfml / sparsifiedSGD
  Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
  ☆58Updated 6 years ago
• sands-lab / grace
  GRACE - GRAdient ComprEssion for distributed deep learning
  ☆140Updated 6 months ago
• JYWa / Overlap_Local_SGD
  Implementation of (overlap) local SGD in Pytorch
  ☆33Updated 4 years ago
• jxbz / signSGD
  Code for the signSGD paper
  ☆83Updated 4 years ago
• facebookresearch / stochastic_gradient_push
  Stochastic Gradient Push for Distributed Deep Learning
  ☆160Updated last year
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆218Updated 7 months ago
• HKBU-HPML / OMGS-SGD
  Layer-wise Sparsification of Distributed Deep Learning
  ☆10Updated 4 years ago
• epfml / error-feedback-SGD
  SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847
  ☆31Updated 6 months ago
• wenwei202 / terngrad
  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
  ☆183Updated 6 years ago
• epfml / powersgd
  Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727
  ☆146Updated 3 months ago
• srQ-cpc / D-PSGD
  Algorithm: Decentralized Parallel Stochastic Gradient Descent
  ☆41Updated 6 years ago
• epfml / LocalSGD-Code
  ☆45Updated 4 years ago
• dhroth / sketchedsgd
  Sketched SGD
  ☆28Updated 4 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 5 years ago
• Tejalsjsu / DeepGradientCompression
  It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…
  ☆18Updated 5 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆33Updated 4 years ago
• hwang595 / PyTorch-parameter-server
  Implementation of Parameter Server using PyTorch communication lib
  ☆43Updated 5 years ago
• yanring / DGS
  Dual-way gradient sparsification approach for async DNN training, based on PyTorch.
  ☆11Updated 2 years ago
• HKBU-HPML / ddl-benchmarks
  ddl-benchmarks: Benchmarks for Distributed Deep Learning
  ☆37Updated 4 years ago
• rdspring1 / Count-Sketch-Optimizers
  A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
  ☆27Updated 5 years ago
• epfml / ChocoSGD
  Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
  ☆66Updated 4 years ago
• chaoyanghe / FedNAS
  FedNAS: Federated Deep Learning via Neural Architecture Search
  ☆53Updated 3 years ago
• HKBU-HPML / MG-WFBP
  MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning
  ☆12Updated 3 years ago
• ParCIS / Ok-Topk
  Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…
  ☆24Updated 2 years ago
• Tabrizian / learning-to-quantize
  Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.
  ☆29Updated 4 years ago