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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1,909 results
Building Machine Learning Projects with TensorFlow by Packt
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
Machine Learning for Time-Series with Python.Published by Packt
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Machine learning programming exercises
The offical notes of Andrew Ng Machine Learning in Stanford University
This is the code for "Quantum Machine Learning" By Siraj Raval on Youtube
A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
Documenting my python implementation of Andrew Ng's Machine Learning course
Full Notes of Andrew Ng's Coursera Machine Learning.
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
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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.
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]
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