Alternatives and similar repositories for AdaComp:

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

• kunglab / ddnn
  ☆117Updated 6 years ago
• hclhkbu / gtopkssgd
  gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
  ☆36Updated 5 years ago
• HKBU-HPML / MG-WFBP
  MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning
  ☆11Updated 4 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
• zoranzhao / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆83Updated 5 years ago
• sands-lab / grace
  GRACE - GRAdient ComprEssion for distributed deep learning
  ☆139Updated 9 months ago
• synxlin / deep-gradient-compression
  [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
  ☆221Updated 9 months ago
• lusinlu / deep-gradient-compression
  Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"
  ☆31Updated 4 years ago
• srQ-cpc / D-PSGD
  Algorithm: Decentralized Parallel Stochastic Gradient Descent
  ☆43Updated 6 years ago
• ganshaoduo / QSGD-TF
  QSGD-TF
  ☆21Updated 5 years ago
• HKBU-HPML / OMGS-SGD
  Layer-wise Sparsification of Distributed Deep Learning
  ☆10Updated 4 years ago
• facebookresearch / stochastic_gradient_push
  Stochastic Gradient Push for Distributed Deep Learning
  ☆164Updated 2 years ago
• hclhkbu / GaussianK-SGD
  Understanding Top-k Sparsification in Distributed Deep Learning
  ☆24Updated 5 years ago
• jinevening / ElasticDNN
  Elastic Execution of a DNN Model Between Client and Server
  ☆17Updated 5 years ago
• hwang595 / ATOMO
  Atomo: Communication-efficient Learning via Atomic Sparsification
  ☆25Updated 6 years ago
• felisat / federated-learning
  ☆93Updated 3 years ago
• wenwei202 / terngrad
  Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
  ☆182Updated 6 years ago
• hwang595 / PyTorch-parameter-server
  Implementation of Parameter Server using PyTorch communication lib
  ☆42Updated 6 years ago
• kunglab / branchynet
  ☆128Updated last year
• SymbioticLab / Oort
  Oort: Efficient Federated Learning via Guided Participant Selection
  ☆126Updated 3 years ago
• roxanneluo / Federated-Learning
  ☆168Updated 7 years ago
• kevinhsieh / non_iid_dml
  ☆29Updated 4 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…
  ☆25Updated 2 years ago
• SymbioticLab / Fluid
  A Generic Resource-Aware Hyperparameter Tuning Execution Engine
  ☆15Updated 3 years ago
• SLAM-Lab / DeepThings
  A Portable C Library for Distributed CNN Inference on IoT Edge Clusters
  ☆26Updated 4 years ago
• SymbioticLab / Tiresias
  Tiresias is a GPU cluster manager for distributed deep learning training.
  ☆153Updated 5 years ago
• xinyandai / gradient-quantization
  vector quantization for stochastic gradient descent.
  ☆34Updated 4 years ago
• msr-fiddle / dnn-partitioning
  ☆40Updated 4 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆88Updated 4 years ago
• stanford-mast / INFaaS
  Model-less Inference Serving
  ☆88Updated last year