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.
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
Open source software for machine learning production monitoring : maintain control over production models, detect bias, explain your results.
The Node.js backend for the mobile application serves a noble purpose by empowering individuals who are unable to speak. Through the integration of a Machine Learning Library, it enables the conversion of handwritten text into speech, allowing users to save their daily conversations in the form of phrases.