A demonstration app of the parameter server implementation for gSMFRETda.
-
Updated
Jan 27, 2022 - Python
A demonstration app of the parameter server implementation for gSMFRETda.
Machine Learning models for large datasets
a simple machine learning library
A simple and basic implement of parameter server for caffe.
python lib for sparse parameter server using rocksdb, written in c++
WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.
A parameter server compatible with PyTorch optimizers.
Improving Performance for Distributed SGD using Ray
Extended DRAGON, a dynamic resource scheduler for deep learning, with Container Migration
Parameter Server + One-sided communication + Bounded Staleness
A lightweight community-aware heterogeneous parameter server paradigm.
PetPS: Supporting Huge Embedding Models with Tiered Memory
Distributed training with Multi-worker & Parameter Server in TensorFlow 2
Serving layer for large machine learning models on Apache Flink
Add a description, image, and links to the parameter-server topic page so that developers can more easily learn about it.
To associate your repository with the parameter-server topic, visit your repo's landing page and select "manage topics."