Stochastic Gradient Push for Distributed Deep Learning
☆172Apr 5, 2023Updated 3 years ago
Alternatives and similar repositories for stochastic_gradient_push
Users that are interested in stochastic_gradient_push are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Sep 10, 2020Updated 5 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆48Sep 2, 2018Updated 7 years ago
- Implementation of (overlap) local SGD in Pytorch☆34Jul 12, 2020Updated 6 years ago
- QSGD-TF☆21May 15, 2019Updated 7 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Atomo: Communication-efficient Learning via Atomic Sparsification☆29Dec 9, 2018Updated 7 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 6 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆151Oct 29, 2024Updated last year
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated 2 years ago
- Python module for simulating gossip learning.☆41Mar 24, 2026Updated 4 months ago
- Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning☆20Aug 12, 2021Updated 4 years ago
- Parallel SGD, done locally and remote☆14May 19, 2016Updated 10 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Nov 19, 2018Updated 7 years ago
- ☆77Jun 7, 2019Updated 7 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆46Mar 4, 2020Updated 6 years ago
- ☆11Dec 23, 2022Updated 3 years ago
- Implementation of Parameter Server using PyTorch communication lib☆41Apr 7, 2019Updated 7 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆53Mar 22, 2019Updated 7 years ago
- Code for the signSGD paper☆95Jan 12, 2021Updated 5 years ago
- Website for TextVQA dataset.☆30Apr 30, 2023Updated 3 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆45Aug 4, 2020Updated 5 years ago
- This repository contains additional reference translations for the WMT'14 En-De (newstest2014) and WMT'19 En-Ru (newstest2019) test sets …☆15Aug 31, 2021Updated 4 years ago
- P2P Distributed deep learning framework that runs on PyTorch.☆25Apr 26, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 5 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆141Jul 23, 2024Updated 2 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆295Feb 23, 2024Updated 2 years ago
- ZOSVRG-BlackBox-Adv☆12Oct 30, 2018Updated 7 years ago
- ☆21Nov 29, 2022Updated 3 years ago
- An implementation of the Hogwild! algorithm for asynchronous SGD that interfaces with sci-kit learn.☆20Feb 20, 2020Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆226Jul 10, 2024Updated 2 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆51Jun 6, 2019Updated 7 years ago
- Proximal Asynchronous SAGA☆13Nov 30, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Decentralized federated learning of deep neural networks on non-iid data☆45Jun 9, 2022Updated 4 years ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Jan 8, 2022Updated 4 years ago
- Code for reproducing experiments performed for Accoridon☆13Jun 11, 2021Updated 5 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 6 years ago
- An Empirical Analysis of Gradient Descent Optimization in Policy Gradient Methods - EWRL Workshop 2018☆16Oct 28, 2018Updated 7 years ago
- ☆33Dec 3, 2019Updated 6 years ago
- Sketched SGD☆28Jul 4, 2020Updated 6 years ago