lucasrm25 / Probabilistic-Machine-LearningLinks
Repository for the course Probabilistic Machine Learning at Tübingen University
☆26Updated 5 years ago
Alternatives and similar repositories for Probabilistic-Machine-Learning
Users that are interested in Probabilistic-Machine-Learning are comparing it to the libraries listed below
Sorting:
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆195Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆223Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- ☆22Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆70Updated 3 months ago
- Neat Bayesian machine learning examples☆58Updated 3 weeks ago
- ☆89Updated 2 years ago
- Representation Learning MSc course Summer Semester 2023☆85Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- ☆24Updated last year
- Exercises and supplementary material for the deep learning course 02456 using PyTorch.☆335Updated last year
- The only guide you need to learn everything about GMM☆134Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆133Updated last year
- Code repository of ml-without-tears blog: https://mlwithouttears.com/☆35Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- DRL university course lecture notes & exercises☆86Updated 2 years ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆57Updated 2 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated 2 years ago
- ☆18Updated last year
- A course on imprecise probabilistic machine learning☆112Updated last week
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆30Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆150Updated last year
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆178Updated 3 years ago
- Interactive textbook on state-space models☆200Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- A collection of awesome mathematics and computer science courses☆137Updated 11 months ago
- Bayesian neural networks via MCMC: tutorial☆60Updated last year