philipphennig / Probabilistic_MLLinks
Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023
☆193Updated 2 years ago
Alternatives and similar repositories for Probabilistic_ML
Users that are interested in Probabilistic_ML are comparing it to the libraries listed below
Sorting:
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆222Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆30Updated last year
- A collection of awesome mathematics and computer science courses☆136Updated 11 months ago
- ☆54Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Deep Learning, an Energy Approach☆223Updated 5 months ago
- Interactive textbook on state-space models☆199Updated last year
- A curated list of topological deep learning (TDL) resources and links.☆269Updated last month
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆131Updated last year
- About A collection of AWESOME things about information geometry Topics☆171Updated last year
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆553Updated 10 months ago
- A course on imprecise probabilistic machine learning☆108Updated 2 weeks ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆148Updated last year
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- ☆194Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Materials of the Nordic Probabilistic AI School 2024.☆66Updated last year
- Data Science for Dynamical System Course☆140Updated last week
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Code for the book "The Elements of Differentiable Programming".☆278Updated 5 months ago
- lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue☆79Updated last year
- ☆89Updated 2 years ago
- Graph Machine Learning course, Xavier Bresson, 2023☆613Updated last year
- NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025☆403Updated 7 months ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆75Updated last year
- Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"☆239Updated 3 months ago
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆93Updated last year