QSGD-TF
☆21May 15, 2019Updated 6 years ago
Alternatives and similar repositories for QSGD-TF
Users that are interested in QSGD-TF are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Atomo: Communication-efficient Learning via Atomic Sparsification☆28Dec 9, 2018Updated 7 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 6 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆150Oct 29, 2024Updated last year
- Code for the signSGD paper☆93Jan 12, 2021Updated 5 years ago
- ☆77Jun 7, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Nov 19, 2018Updated 7 years ago
- Pytorch distributed backend extension with compression support☆17Mar 24, 2025Updated last year
- A Deep Learning Meta-Framework and HPC Benchmarking Library☆81May 23, 2022Updated 3 years ago
- Simple Hierarchical Count Sketch in Python☆21Jun 3, 2021Updated 4 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Jul 23, 2024Updated last year
- MPI for Torch☆60May 22, 2017Updated 8 years ago
- ☆16Sep 27, 2023Updated 2 years ago
- Vector Approximate Message Passing inference framework for GWAS☆19Jan 14, 2026Updated 3 months ago
- Proximal Asynchronous SAGA☆13Nov 30, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Kronecker Production Matrix for Approximate Nearest Neighbour Search☆12Sep 23, 2015Updated 10 years ago
- AN EFFICIENT AND GENERAL FRAMEWORK FOR LAYERWISE-ADAPTIVE GRADIENT COMPRESSION☆14Oct 27, 2023Updated 2 years ago
- Code for ICML 2022 paper "SPDY: Accurate Pruning with Speedup Guarantees"☆20May 3, 2023Updated 2 years ago
- Code for reproducing experiments performed for Accoridon☆13Jun 11, 2021Updated 4 years ago
- Ouroboros: On Accelerating Training of Transformer-Based Language Models☆10Nov 7, 2019Updated 6 years ago
- ☆10Sep 3, 2017Updated 8 years ago
- Arrow Matrix Decomposition - Communication-Efficient Distributed Sparse Matrix Multiplication☆15Mar 25, 2024Updated 2 years ago
- Distributed-memory, double-precision, polar decomposition (QDWH/ZOLO-PD) of a dense matrix, svd (QDWH/ZOLOPD-SVD) of a dense matrix☆15Jun 3, 2020Updated 5 years ago
- Dynamic Weighted Majority for Imbalance Learning☆15Nov 4, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Apr 26, 2021Updated 4 years ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 5 years ago
- Code for paper: Variance Reduced Local SGD with Lower Communication Complexity☆12May 20, 2020Updated 5 years ago
- Data Driven Dynamic Hybrid Renewable Energy design and simulation framework☆12May 5, 2020Updated 5 years ago
- https://arxiv.org/abs/1706.04972☆45Dec 6, 2018Updated 7 years ago
- Convolutional 3D autoencoder☆14Aug 21, 2016Updated 9 years ago
- ZOSVRG-BlackBox-Adv☆13Oct 30, 2018Updated 7 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆166Mar 4, 2021Updated 5 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Dark channel Haze removal algorithm with CUDA acceleration (typically 10x or more speedup using a Nvidia GPU)☆14Dec 7, 2017Updated 8 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆17Nov 20, 2019Updated 6 years ago
- Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"☆16Jul 4, 2017Updated 8 years ago
- Small-footprint Keyword Spotting☆18Jul 28, 2019Updated 6 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Dec 25, 2019Updated 6 years ago
- Course repository for Cornell CS 6210, Fall 2016☆18Nov 30, 2016Updated 9 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Oct 13, 2022Updated 3 years ago