bharathgs / Awesome-Distributed-Deep-Learning
A curated list of awesome Distributed Deep Learning resources.
☆421Updated 9 months ago
Alternatives and similar repositories for Awesome-Distributed-Deep-Learning
Users that are interested in Awesome-Distributed-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Infrastructures™ for Machine Learning Training/Inference in Production.☆415Updated 5 years ago
- Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersectio…☆273Updated 6 years ago
- CS294; AI For Systems and Systems For AI☆224Updated 5 years ago
- Deep Learning introduction and its application in various fields☆173Updated 4 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆517Updated 7 months ago
- A collection of research papers, codes, tutorials and blogs on Federated Computing/Learning.☆476Updated last year
- MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging…☆192Updated 2 years ago
- ☆390Updated 2 years ago
- Papers for deep neural network compression and acceleration☆397Updated 3 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆439Updated 2 years ago
- A curated list of awesome projects and papers for distributed training or inference☆233Updated 7 months ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 2 years ago
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 2 years ago
- resources about federated learning and privacy in machine learning☆536Updated 10 months ago
- A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and o…☆261Updated 2 years ago
- A curated list of awesome architecture search resources☆1,187Updated 4 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆165Updated 2 years ago
- A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.☆130Updated 3 years ago
- papers on scalable and efficient machine learning systems☆192Updated 6 years ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆854Updated 3 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆685Updated 5 years ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago
- Dive into Deep Learning Compiler☆645Updated 2 years ago
- A GPipe implementation in PyTorch☆840Updated 9 months ago
- Implementing Google's DistBelief paper☆110Updated 2 years ago
- http://vlsiarch.eecs.harvard.edu/research/recommendation/☆135Updated 2 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Updated 9 months ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆147Updated 6 months ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆294Updated last year
- PyTorch elastic training☆729Updated 2 years ago