A parameter server compatible with PyTorch optimizers.
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Updated
Jul 20, 2018 - Python
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 demonstration app of the parameter server implementation for gSMFRETda.
A simple and basic implement of parameter server for caffe.
a simple machine learning library
ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.
A lightweight community-aware heterogeneous parameter server paradigm.
Machine Learning models for large datasets
python lib for sparse parameter server using rocksdb, written in c++
Serving layer for large machine learning models on Apache Flink
Distributed training with Multi-worker & Parameter Server in TensorFlow 2
Distributed Fieldaware Factorization Machines based on Parameter Server
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