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.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
A toolkit for making real world machine learning and data analysis applications in C++
mlpack: a fast, header-only C++ machine learning library
Snips Python library to extract meaning from text
a delightful machine learning tool that allows you to train, test, and use models without writing code
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations
A modular active learning framework for Python
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. 🦀
An open-source Python framework for hybrid quantum-classical machine learning.
[UNMAINTAINED] Automated machine learning for analytics & production
A fast, efficient universal vector embedding utility package.
🌝 MLKit是一个强大易用的工具包。通过ML Kit您可以很轻松的实现文字识别、条码识别、图像标记、人脸检测、对象检测等功能。
Java Statistical Analysis Tool, a Java library for Machine Learning
Pool-based active learning in Python
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Behavioral "black-box" testing for recommender systems
Python learning to rank (LTR) toolkit