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machine-learning-algorithms

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.

Here are 200 public repositories matching this topic...

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  • Updated Sep 21, 2026
  • C++
AlgoPlus

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

  • Updated Jan 31, 2025
  • C++

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

  • Updated Feb 26, 2022
  • C++

The Smart Sign Language Glove is a wearable device that translates sign language gestures into text or speech, bridging communication gaps for sign language users. Powered by an ESP32 microcontroller, the glove uses flex sensors and an MPU-6050 accelerometer/gyroscope to capture real-time hand movements.

  • Updated Jan 14, 2025
  • C++
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