There are 121 repositories under machine-learning-algorithms topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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
:speech_balloon: Machine Learning Course with Python:
A resource for learning about Machine learning & Deep Learning
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
Plain python implementations of basic machine learning algorithms
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
StellarGraph - Machine Learning on Graphs
The machine learning toolkit for time series analysis in Python
A high performance implementation of HDBSCAN clustering.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
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/
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
A modular active learning framework for Python
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
Pathway is a high-throughput, low-latency data processing framework that handles live data & streaming for you. Made with ❤️ for Python & ML/AI developers.
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
AI for GNU Image Manipulation Program
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)