Topic: parameter-server Goto Github
Some thing interesting about parameter-server
Some thing interesting about parameter-server
parameter-server,Distributed training with Multi-worker & Parameter Server in TensorFlow 2
User: 18520339
Home Page: https://youtu.be/OOPVA-eqBTY
parameter-server,OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
Organization: 4paradigm
parameter-server,A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
User: alexrenz
Home Page: https://arxiv.org/abs/2206.00470
parameter-server,A Flexible and Powerful Parameter Server for large-scale machine learning
Organization: angel-ml
parameter-server,
Organization: arthackday-plus1
parameter-server,ROS utility package for build-time configuration file generation and dumping/restoring contents of ROS parameter server to/from ROS bags.
User: asherikov
parameter-server,Distributed Fieldaware Factorization Machines based on Parameter Server
User: cnevd
parameter-server,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.
User: cnkuangshi
parameter-server,A parameter server implement with MPI.
Organization: dlfc
Home Page: https://github.com/dmlc/ps-lite
parameter-server,Parameter Server + One-sided communication + Bounded Staleness
Organization: epeec
parameter-server,Extended DRAGON, a dynamic resource scheduler for deep learning, with Container Migration
User: haverzard
parameter-server,a simple machine learning library
User: jarlene
parameter-server,Serverless ML Framework
User: jcarreira
parameter-server,A lightweight community-aware heterogeneous parameter server paradigm.
User: kimihe
parameter-server,A demonstration app of the parameter server implementation for gSMFRETda.
User: liu-kan
parameter-server,A simple and basic implement of parameter server for caffe.
User: mark-myzhao
parameter-server,Serving layer for large machine learning models on Apache Flink
User: mmziyad
parameter-server,extremely distributed machine learning
Organization: qihoo360
parameter-server,WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
User: ryantd
parameter-server,Machine Learning models for large datasets
User: samridhishree
parameter-server,分布式流数据大规模主题模型的实现
User: tanyokwok
parameter-server,PetPS: Supporting Huge Embedding Models with Tiered Memory
Organization: thustorage
parameter-server,python lib for sparse parameter server using rocksdb, written in c++
Organization: uopensail
Home Page: https://uopensail.github.io/damo-embedding/
parameter-server,自己实现的深度学习训练框架,纯java实现,没有过多的第三方依赖,可分布式训练
User: wudikua
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