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
Distributed training with Multi-worker & Parameter Server in TensorFlow 2
Distributed Fieldaware Factorization Machines based on Parameter Server
Machine Learning models for large datasets
python lib for sparse parameter server using rocksdb, written in c++
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