JSON for Modern C++
- json
- json-pointer
- json-patch
- cbor
Repository Index
47,133 repositories indexed
1–16 of 16 · Most stars
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
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