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.
mlpack: a fast, header-only C++ machine learning library
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Open-source AI library (audio to text, simple NLP and algorithms)
Optimization-Based Rule Learning for Classification
Extreme Learning Machines Framework with Python and TensorFlow
Advanced Machine Learning and Visualization
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
A high-level machine learning and deep learning library for the PHP language.
A toolkit for making real world machine learning and data analysis applications in C++
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
💬 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
Framework to create, train & test MLPs and RNNs, written from scratch in Java
Explore insights and trends in Flipkart sales data with our comprehensive analysis. Uncover customer preferences, market trends, and regional variations to drive strategic decision-making and business growth. Leverage data-driven insights to optimize marketing strategies and enhance customer engagement.
Bright Wire is an open source machine learning library for .NET with GPU support (via CUDA)
Conversational AI Platform to build effective Proactive Digital Assistants using Visual LLM Chaining
Rtrafactor - LLMs on Steroids
MLModelScope is an open source, extensible, and customizable platform to facilitate evaluation and measurement of ML models within AI pipelines.
Machine Learning Practice and Exercises Welcome to our repository dedicated to the practice and mastery of machine learning (ML) concepts and techniques. This repository serves as a comprehensive resource for learners and enthusiasts looking to enhance their ML skills through hands-on exercises and practical applications.
This code snippet performs fraud detection using machine learning models such as RandomForestClassifier and DecisionTreeClassifier.
Welcome to 'Machine Learning Foundations: A Comprehensive Guide from Python to Mathematics.' Whether you're a novice explorer or a seasoned enthusiast in the realms of technology, this book is your key to unlocking the fascinating world of machine learning.