Popular GitHub Repositories for Storage Cluster

Firebase SDK for Apple App Development

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

Simple, scalable AI model deployment on GPU clusters

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Resource scheduling and cluster management for AI

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.

A crowdsourced distributed cluster for AI art and text generation

Distributed Java game server, including cluster management server, gateway server, hall server, game logic server, background monitoring server and a running web version of fishing. State machine, behavior tree, A* pathfinding, navigation mesh and other AI tools

? Tiny S3 client. Edge computing ready. No-dep. In Typescript. Works with @cloudflare @minio @backblaze @digitalocean @garagehq

A Generative Art Generator

PyTorch Extension Library of Optimized Graph Cluster Algorithms

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.

An AI memory layer with short- and long-term storage, semantic clustering, and optional memory decay for context-aware applications.