A lightweight parameter server interface
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Updated
Jan 13, 2023 - C++
A lightweight parameter server interface
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
S-BDT: Distributed Differentially Private Boosted Decision Trees
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
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