PetPS: Supporting Huge Embedding Models with Tiered Memory
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Updated
May 21, 2024 - C++
PetPS: Supporting Huge Embedding Models with Tiered Memory
python lib for sparse parameter server using rocksdb, written in c++
ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
Serverless ML Framework
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.
A lightweight community-aware heterogeneous parameter server paradigm.
a simple machine learning library
Distributed Fieldaware Factorization Machines based on Parameter Server
A simple and basic implement of parameter server for caffe.
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