epfml / ML_courseLinks
EPFL Machine Learning Course, Fall 2025
☆1,964Updated this week
Alternatives and similar repositories for ML_course
Users that are interested in ML_course are comparing it to the libraries listed below
Sorting:
- EPFL Course - Optimization for Machine Learning - CS-439☆1,351Updated 3 months ago
 - Software Engineering course materials from EPFL☆108Updated last month
 - Materials for Applied Data Analysis CS-401, Fall 2024☆50Updated 9 months ago
 - Materials for Applied Data Analysis CS-401, Fall 2021☆45Updated 2 years ago
 - CS-423 Distributed Information Systems☆70Updated 9 months ago
 - Materials for Applied Data Analysis CS-401, fall 2020☆51Updated 2 years ago
 - Materials for Applied Data Analysis CS-401, Fall 2023☆39Updated last year
 - EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).☆173Updated 4 years ago
 - 🤖 Machine Learning Summer School Guide☆2,902Updated last month
 - Template for EPFL (BSc, MSc, or doctoral) theses and semester projects☆136Updated 9 months ago
 - "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,390Updated 6 months ago
 - 🟠 A study guide to learn about Graph Neural Networks (GNNs)☆1,252Updated 2 years ago
 - Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023☆3,007Updated 7 months ago
 - Pen and paper exercises in machine learning☆2,512Updated last year
 - Applied Deep Learning Course☆3,451Updated 2 years ago
 - A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare☆368Updated this week
 - A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆1,026Updated 8 months ago
 - Probabilistic Machine Learning: Advanced Topics☆1,496Updated 6 months ago
 - Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich☆628Updated 3 years ago
 - This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆294Updated 4 years ago
 - Collection of LaTeX resources and examples.☆554Updated 3 years ago
 - ☆1,464Updated 3 years ago
 - My Own Solution Manual of PRML☆998Updated 4 years ago
 - A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆903Updated 4 years ago
 - https://huyenchip.com/ml-interviews-book/☆4,295Updated 7 months ago
 - Awesome free machine learning and AI courses with video lectures.☆3,026Updated 10 months ago
 - NYU Deep Learning Spring 2021☆1,643Updated last month
 - Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,938Updated last month
 - List of startups doing AI & ML☆282Updated 10 months ago
 - Companion webpage for the book "Bayesian Optimization" by Roman Garnett☆926Updated last year