Partition management extension for PostgreSQL

MapReduce, Spark, Java, and Scala for Data Algorithms Book

A scikit-learn based module for multi-label et. al. classification

Partitioning tool for PostgreSQL

ActiveRecord PostgreSQL Partitioning

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

Header-Only C++ Library for Graph Representation and Algorithms

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

A set of tools which enhances ORMs written in Python with more features

KaHIP -- Karlsruhe HIGH Quality Partitioning.

A starting point to build a web API to work with Azure Cosmos DB using .NET 5 and Azure Cosmos DB .NET SDK V3, based on Clean Architecture and repository design pattern. Partition key is also implemented through the repository pattern.

Bao, a Lightweight Static Partitioning Hypervisor

Partitioned ETS tables for Erlang and Elixir

Analyze Data with Pandas-based Networks. Documentation:

Burst compatible Octree and Quadtree for Unity

Docker compose config for mongodb cluster

A node js library with a distributed leader/follower algorithm ready to be used

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

A Django extension that supports PostgreSQL 11 time ranges and list partitioning.