Simple Hierarchical Count Sketch in Python
☆21Jun 3, 2021Updated 4 years ago
Alternatives and similar repositories for csh
Users that are interested in csh are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Aug 30, 2021Updated 4 years ago
- Sketched SGD☆28Jul 4, 2020Updated 5 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆25Nov 26, 2019Updated 6 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Oct 25, 2018Updated 7 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 6 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.
- SGD with compressed gradients and error-feedback: https://arxiv.org/abs/1901.09847☆32Jul 25, 2024Updated last year
- MISSION: Ultra Large-Scale Feature Selection using Count-Sketches☆13Oct 6, 2019Updated 6 years ago
- ☆19Dec 23, 2024Updated last year
- QSGD-TF☆21May 15, 2019Updated 6 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Jul 6, 2020Updated 5 years ago
- Image classification using pytorch on German Traffic Sign data set☆10Jan 10, 2021Updated 5 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- A program that upscales your images using a ResNet neural network!☆12Jan 17, 2018Updated 8 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Sem@K: Is my knowledge graph embedding model semantic-aware?☆10Jul 19, 2023Updated 2 years ago
- Dynamic Weighted Majority for Imbalance Learning☆15Nov 4, 2019Updated 6 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆18Mar 27, 2021Updated 5 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 4 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆27Dec 10, 2022Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆43Nov 16, 2022Updated 3 years ago
- PyTorch implementation for NAACL 2022 paper: "Document-Level Relation Extraction with Sentences Importance Estimation and Focusing"☆17Apr 29, 2022Updated 3 years ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Jul 23, 2024Updated last year
- A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"☆30Jul 18, 2018Updated 7 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 5 years ago
- Convolutional 3D autoencoder☆14Aug 21, 2016Updated 9 years ago
- ZOSVRG-BlackBox-Adv☆13Oct 30, 2018Updated 7 years ago
- AAAI 2024 accepted paper, FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heter…☆64Dec 27, 2024Updated last year
- ☆12Apr 18, 2023Updated 2 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆18Jun 2, 2022Updated 3 years ago
- Discovering Polarized Communities in Signed Networks☆13Sep 2, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆77Jun 7, 2019Updated 6 years ago
- Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"☆15Aug 20, 2019Updated 6 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Dec 25, 2019Updated 6 years ago
- Semi-supervised spoken language understanding (SLU) via self-supervised speech and language model pretraining☆12Mar 23, 2021Updated 5 years ago
- Federated Dynamic Sparse Training☆31May 26, 2022Updated 3 years ago
- ☆19Apr 10, 2017Updated 8 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆145May 29, 2019Updated 6 years ago