Open Source Computer Vision Library
- opencv
- c-plus-plus
- computer-vision
- deep-learning
Repository Index
47,133 repositories indexed
1–16 of 16 · Most stars
Cross-platform, customizable ML solutions for live and streaming media.
- mediapipe
- c-plus-plus
- computer-vision
- deep-learning
kaldi-asr/kaldi is the official location of the Kaldi project.
A toolkit for making real world machine learning and data analysis applications in C++
- machine-learning
- deep-learning
- c-plus-plus
- python
Point Cloud Library (PCL)
- pcl
- c-plus-plus
- cpp
- pointcloud
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
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++.
C++ implementation of a fast and memory efficient HAT-trie
- cpp
- trie
- hat-trie
- data-structures
A Modern C++ Data Sciences Toolkit
- nlp
- nlp-parsing
- search-engine
- inverted-index
Framework and Library for Distributed Online Machine Learning
- machine-learning
- c-plus-plus
- ml
- distributed
A GPU (CUDA) based Artificial Neural Network library
- self-organizing-map
- cuda
- c-plus-plus-11
- propagation-network
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