#Machine-learning-algorithms
Showing 60 of 275 repositories tagged #machine-learning-algorithms, ranked by stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
100 Days of ML Coding
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A complete daily plan for studying to become a machine learning engineer.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
The "Python Machine Learning (1st edition)" book code repository and info resource
手写实现李航《统计学习方法》书中全部算法
Minimal and clean examples of machine learning algorithms implementations
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A resource for learning about Machine learning & Deep Learning
:speech_balloon: Machine Learning Course with Python:
Matlab code of machine learning algorithms in book PRML
cuML - RAPIDS Machine Learning Library
This repository is a compilation of free resources for learning Data Science.
Become a cracked AI/ML Research Engineer
Plain python implementations of basic machine learning algorithms
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
The machine learning toolkit for time series analysis in Python
a delightful machine learning tool that allows you to train, test, and use models without writing code
A high performance implementation of HDBSCAN clustering.
StellarGraph - Machine Learning on Graphs
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
Machine Learning Journal for Intermediate to Advanced Topics.
A modular active learning framework for Python
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
This repository helps you learn Python and Machine Learning from scratch.
An open-source Python framework for hybrid quantum-classical machine learning.
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
AI for GNU Image Manipulation Program
The collaboration workspace for Machine Learning
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Machine learning powered Karaoke app (with scores!)
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
Deeplearning Algorithms Tutorial
😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
Java Statistical Analysis Tool, a Java library for Machine Learning
WTTE-RNN a framework for churn and time to event prediction
Android TensorFlow Lite Machine Learning Example
A curated list of applied machine learning and data science notebooks and libraries across different industries.
I am Duncan, a cofounder at Rose City Robotics. This public repository is used as an easy to update list of resources for AI developers including technical courses, books, and tutorials on artificial intelligence, deep learning and machine learning. PRs welcome!
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
A general classifier module to allow Bayesian and LSI classifications.
A curated list of Monte Carlo tree search papers with implementations.
🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
oneAPI Data Analytics Library (oneDAL)
A simple and flexible code for Reservoir Computing architectures like Echo State Networks