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:
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆171Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆210Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- ☆83Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆68Updated 8 months ago
- ☆20Updated 2 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- The only guide you need to learn everything about GMM☆128Updated 8 months ago
- Neat Bayesian machine learning examples☆58Updated last month
- Bayesian Learning and Neural Networks (jupyter book sources)☆56Updated 2 years ago
- Representation Learning MSc course Summer Semester 2023☆81Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆118Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆283Updated 4 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆49Updated 2 years ago
- Course material for 1RT700 Statistical Machine Learning☆63Updated 6 months ago
- Exercises and supplementary material for the deep learning course 02456 using PyTorch.☆330Updated 9 months ago
- ☆51Updated last year
- Bayesian neural networks via MCMC: tutorial☆57Updated 9 months ago
- Computer Vision and Pattern Recognition, NUS CS4243, 2022☆171Updated 3 years ago
- ☆20Updated 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
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆84Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆122Updated 6 years ago
- Apps (mostly streamlit) for the "Probabilistic Machine Learning" Lecture course at the University of Tübingen☆27Updated last year
- Interactive textbook on state-space models☆196Updated last year
- Introduction to Gaussian Processes☆29Updated 7 years ago