Popular GitHub Repositories for Multidimensional Clusters

Statistical Machine Intelligence & Learning Engine

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

C++ tensors with broadcasting and lazy computing

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

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

prima.cpp: Speeding up 70B-scale LLM inference on low-resource everyday home clusters

A lightweight high performance tensor algebra framework for modern C++

cuCIM - RAPIDS GPU-accelerated image processing library

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Data-mining and Visualization components for RAD Studio

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

? A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow ?

Efficient LLM inference on Slurm clusters using vLLM.

? ? Multidimensional synthetic data generation with Copula and fPCA models in Python

Create, List, Update, Delete Amazon EKS clusters. Deploy and manage software on EKS. Run distributed model training and inference examples.

dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.

Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling