distributed-computing topic

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

innovation-cat

Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin

asynkron

PySpark + Scikit-learn = Sparkit-learn

lensacom

distributed dataflows with functional list operations for data processing with C++14

haptork

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

kubeflow

Distributed and decentralized training framework for PyTorch over graph

Bluefog-Lib

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

couler-proj

Bare bone examples of machine learning in TensorFlow

jostmey

A full stack, reactive architecture for general purpose programming. Algebraic and monadically composable primitives for concurrency, parallelism, event handling, transactions, multithreading, Web, a...

transient-haskell

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

hazelcast