parameter-server

A Flexible and Powerful Parameter Server for large-scale machine learning

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

extremely distributed machine learning

自己实现的深度学习训练框架，纯java实现，没有过多的第三方依赖，可分布式训练

OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.

PetPS: Supporting Huge Embedding Models with Tiered Memory

Serverless ML Framework

A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training

WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.

Reduce the training time of CNNs by leveraging the power of multiple GPUs in 2 approaches, Multi-workers & Parameter Sever Training using TensorFlow 2

Distributed Fieldaware Factorization Machines based on Parameter Server

A parameter server implement with MPI.

python lib for sparse parameter server using rocksdb, written in c++

Serving layer for large machine learning models on Apache Flink

分布式流数据大规模主题模型的实现

An implementation of the MuZero algorithm by Google Deepmind.

Machine Learning models for large datasets

ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.

a simple machine learning library

A lightweight community-aware heterogeneous parameter server paradigm.