Repository Index

Open Source Computer Vision Library

• opencv
• c-plus-plus
• computer-vision
• deep-learning

Cross-platform, customizable ML solutions for live and streaming media.

• mediapipe
• c-plus-plus
• computer-vision
• deep-learning

A brief computer graphics / rendering course

• opengl
• c-plus-plus
• picture
• graphics

A toolkit for making real world machine learning and data analysis applications in C++

• machine-learning
• deep-learning
• c-plus-plus
• python

Nmap - the Network Mapper. Github mirror of official SVN repository.

• c-plus-plus
• lua
• security
• port-scanner

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

• c-plus-plus
• machine-learning
• online-learning
• contextual-bandits

header only, dependency-free deep learning framework in C++14

• c-plus-plus
• deep-learning
• machine-learning
• neural-network

mlpack: a fast, header-only C++ machine learning library

• machine-learning-library
• c-plus-plus
• deep-learning
• nearest-neighbor-search

Shōgun

• machine-learning
• data-science
• artificial-intelligence
• swig

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON, SVE for ARM, HVX for Hexagon

• simd
• avx
• neon
• image-processing

ThunderSVM: A Fast SVM Library on GPUs and CPUs

• classification
• regression
• one-class-learning
• cuda

A lightweight header-only library for using Keras (TensorFlow) models in C++.

• tensorflow
• deep-learning
• keras
• cpp

Framework and Library for Distributed Online Machine Learning

• machine-learning
• c-plus-plus
• ml
• distributed

Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.

• arithmetic
• integer-arithmetic
• fixed-point-arithmetic
• rational-arithmetic

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