Repository Index

Enabling the Windows Subsystem for Linux to include support for Wayland and X server related scenarios

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

• space-partition-tree
• neighborhood-graph
• vector-search
• fresh-update

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

This is a lightweight, headless browser purpose-built for AI agents (such as Codex or Claude Code) to perform browser automation tasks; it is designed to navigate through various web protection systems, login processes, and reverse-engineering scenarios

• anti-bot
• automation
• firefox
• headless-browser

a basic OpenSCENARIO player

• openscenario
• opendrive
• trafficscenarios
• simulationscenarios

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

• data-analytics
• data-cleaning
• data-cleansing
• data-engineering

An unordered C++ data container providing fast iteration/insertion/erasure while maintaining pointer/iterator validity to non-erased elements regardless of insertions/erasures. Provides higher-performance than std:: library containers for high-modification scenarios with unordered data.

• container
• cpp
• template
• unordered

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.

• svm
• regression
• classification
• machine-learning