stsievert / pytorch_ps_mpiLinks
PyTorch parameter server with MPI
☆16Updated 7 years ago
Alternatives and similar repositories for pytorch_ps_mpi
Users that are interested in pytorch_ps_mpi are comparing it to the libraries listed below
Sorting:
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 6 years ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Updated 6 years ago
- QSGD-TF☆21Updated 6 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 6 years ago
- Atomo: Communication-efficient Learning via Atomic Sparsification☆27Updated 6 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- ☆46Updated 5 years ago
- ☆74Updated 5 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 5 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆168Updated 2 years ago
- Code for the signSGD paper☆86Updated 4 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆44Updated 6 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 4 years ago
- Parallel SGD, done locally and remote☆14Updated 9 years ago
- Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization☆54Updated 7 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆20Updated 3 years ago
- ☆12Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆222Updated 10 months ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆146Updated 7 months ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- GPU-specialized parameter server for GPU machine learning.☆101Updated 7 years ago
- ☆128Updated last year
- DRACO: Byzantine-resilient Distributed Training via Redundant Gradients☆23Updated 6 years ago
- Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)☆81Updated 7 years ago
- vector quantization for stochastic gradient descent.☆35Updated 5 years ago
- A universal and efficient framework for training well-performing light net☆124Updated 7 years ago
- An analytical performance modeling tool for deep neural networks.☆89Updated 4 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆30Updated 10 months ago
- Pytorch deep learning object detection using CINIC-10 dataset.☆22Updated 5 years ago