A toolkit for making real world machine learning and data analysis applications in C++
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Updated
Oct 6, 2024 - C++
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
A toolkit for making real world machine learning and data analysis applications in C++
mlpack: a fast, header-only C++ machine learning library
Adaptive Real-Time Object Detection System with HOG and CNN Features
Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
esp32-cam face recognition with MQTT and esp-who framework
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A node based deep neural network library on top of CuDNN
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mlpack: a scalable C++ machine learning library
A machine learning playground and implementation of most common algorithms
Wrappers for FastText Library used for fast text representation and classification.