Repository Index

JSON for Modern C++

• json
• json-pointer
• json-patch
• cbor

Productive, portable, and performant GPU programming in Python.

• taichi
• differentiable-programming
• gpu-programming
• sparse-computation

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

• inference
• deep-learning
• openvino
• ai

Production ready toolkit to run AI locally

• ios
• kotlin
• llm
• swift

Fit interpretable models. Explain blackbox machine learning.

• machine-learning
• interpretability
• gradient-boosting
• blackbox

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

• robotics
• dynamics
• analytical-derivatives
• kinematics

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

• optimization
• nonlinear
• derivatives
• code-generation

automatic differentiation made easier for C++

• automatic-differentiation
• auto-differentiation
• autodiff
• autodifferentiation

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

• optimal-control
• model-predictive-control
• ilqr
• ilqg

A C++, header-only library for constructing JSON and JSON-like data formats, with JSON Pointer, JSON Patch, JSON Schema, JSONPath, JMESPath, CSV, MessagePack, CBOR, BSON, UBJSON, toon-format

• json
• cbor
• jsonpath
• csv

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

The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.

• automatic-differentiation
• aad
• algorithmic-differentiation
• autodiff

A general library for geometry operations of union, intersections, difference, and xor

• computational-geometry
• union
• intersection
• xor

JSAR: browser engine library designed for the Spatial Web. You can use it to mix-render different modern Web 2D and 3D contents together.

• webxr
• browser-engine
• webgl

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

Resolve software differencing and merging