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☆198Updated 2 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆224Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 7 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 4 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- Representation Learning MSc course Summer Semester 2023☆87Updated 2 years ago
- ☆90Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆178Updated last year
- ☆22Updated 2 years ago
- Exercises and supplementary material for the deep learning course 02456 using PyTorch.☆338Updated last year
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆178Updated 3 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆134Updated last year
- Bayesian neural networks via MCMC: tutorial☆60Updated last year
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆95Updated last year
- Neat Bayesian machine learning examples☆58Updated last month
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆297Updated 5 years ago
- A hello world Bayesian Neural Network project on MNIST☆51Updated 3 years ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated last year
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆31Updated last year
- ☆55Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆153Updated last year
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆181Updated 4 years ago
- ☆24Updated last year
- A collection of awesome mathematics and computer science courses☆138Updated last year
- Interactive textbook on state-space models☆200Updated last year
- My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867☆348Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆139Updated 3 years ago
- Mathematics for Machine Learning Lecture Notes☆46Updated 4 years ago