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

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"

Partitioning tool for PostgreSQL

ActiveRecord PostgreSQL Partitioning

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.

KaHIP -- Karlsruhe HIGH Quality Partitioning.

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

Bao, a Lightweight Static Partitioning Hypervisor

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.

Partitioned ETS tables for Erlang and Elixir

Burst compatible Octree and Quadtree for Unity

Analyze Data with Pandas-based Networks. Documentation:

Docker compose config for mongodb cluster

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.

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

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.