There are 10 repositories under parameter-server topic.
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
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
PetPS: Supporting Huge Embedding Models with Tiered Memory
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
python lib for sparse parameter server using rocksdb, written in c++
Machine Learning models for large datasets
An implementation of the MuZero algorithm by Google Deepmind.
ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.
A demonstration app of the parameter server implementation for gSMFRETda.
Improving Performance for Distributed SGD using Ray
Extended DRAGON, a dynamic resource scheduler for deep learning, with Container Migration