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A Flexible and Powerful Parameter Server for large-scale machine learning
machine-learning scala spark model spark-streaming online-learning parameter-server high-dimensional
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.
distributed-systems machine-learning deep-learning factorization-machines computational-graphs parameter-server model-compression
extremely distributed machine learning
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
java machine-learning dnn wide-and-deep parameter-server nerual-network deepleanring java-machine-learning
Educational distributed training and inference library for heterogeneous local hardware: Mac minis, Raspberry Pis and GPUs over plain Python sockets. FSDP, GRPO, parameter-server, expert and data parallelism.
raspberry-pi distributed-computing pytorch educational zero socket-programming data-parallelism parameter-server edge-computing model-parallelism distributed-training heterogeneous-computing mac-mini apple-silicon fsdp llm-training local-ai distributed-inference grpo expert-parallelism
RecStore: High-performance parameter storage for large-scale recommendation models, unifying heterogeneous memory as a scalable embedding pool.
PetPS: Supporting Huge Embedding Models with Tiered Memory
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
tensorflow tensorflow-training parameter-server distributed-training model-parallel embedding-layers
Serverless ML Framework
A fully adaptive, zero-tuning parameter manager that enables efficient distributed machine learning training
parameter-server distributed-training distributed-ml large-scale-machine-learning parameter-management
WIP. Veloce is a low-code Ray-based parallelization library that makes machine learning computation novel, efficient, and heterogeneous.
sparsity deep-learning distributed-computing pytorch distributed ray data-parallelism parameter-server heterogeneity model-parallelism
Reduce the training time of CNNs by leveraging the power of multiple GPUs in 2 approaches, Multi-workers & Parameter Sever Training using TensorFlow 2
tensorflow distributed multi-gpu parameter-server distributed-tensorflow distributed-training multi-workers
Distributed Fieldaware Factorization Machines based on Parameter Server
Serving layer for large machine learning models on Apache Flink
An implementation of the MuZero algorithm by Google Deepmind.
Machine Learning models for large datasets
big-data hadoop autograd document-classification mapreduce lda hadoop-mapreduce large-dataset parameter-server guinea-pig autodiff bigml lda-gibbs-sampling guineapig sparse-sgd
a simple machine learning library
A lightweight community-aware heterogeneous parameter server paradigm.
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