Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Courses, books, tutorials, paper collections and curated awesome lists.
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个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释
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Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/
This repository contains a collection of books I have downloaded related to **Mathematics**, **Artificial Intelligence (AI) & Machine Learning (ML)**, and **Algorithms**. Some of these books I have read, while others are on my reading list.
Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
🟣 Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
A curated compilation of AI-driven generative music resources and projects. Explore the blend of machine learning algorithms and musical creativity.
This is the notes and code I took while studying an NLP tutorial [2019 Latest AI Natural Language Processing Deep Machine Learning Top Project Practical Course]
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
🟣 SQL interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
Gather around the table, and have a discussion to catch up the latest trend of machine learning 🤖
This repo is all the machine learning related project codes and their corresponding blog posts at the graduate level.
A fully functional and simple Machine Learning library made entirely from scratch with Python.
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
24,524 repositories in the index in total.
