jiaweizzhao / signSGD-with-Majority-VoteLinks
☆75Updated 6 years ago
Alternatives and similar repositories for signSGD-with-Majority-Vote
Users that are interested in signSGD-with-Majority-Vote are comparing it to the libraries listed below
Sorting:
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆51Updated 6 years ago
- Code for the signSGD paper☆88Updated 4 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆170Updated 2 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- ☆83Updated 5 years ago
- Sketched SGD☆28Updated 5 years ago
- ☆46Updated 5 years ago
- Implementation of (overlap) local SGD in Pytorch☆33Updated 5 years ago
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆31Updated last year
- ☆70Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆105Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- ☆55Updated 6 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- ☆30Updated 4 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆29Updated 7 years ago
- Code for ICML 2017 paper, SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization☆54Updated 7 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆144Updated 8 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- ☆144Updated 2 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Updated 6 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 6 years ago
- CoLa - Decentralized Linear Learning: https://arxiv.org/abs/1808.04883☆20Updated 3 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆147Updated 9 months ago
- Code accompanying the NeurIPS 2020 paper: WoodFisher (Singh & Alistarh, 2020)☆53Updated 4 years ago