lucasrm25 / Probabilistic-Machine-LearningLinks
Repository for the course Probabilistic Machine Learning at Tübingen University
☆24Updated 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☆160Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆86Updated 6 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆43Updated this week
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆105Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆204Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆128Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆121Updated 6 years ago
- ☆78Updated 2 years ago
- Notebooks for "Probabilistic Machine Learning" book☆203Updated 3 years ago
- Interactive textbook on state-space models☆190Updated last year
- Bayesian Learning and Neural Networks (jupyter book sources)☆54Updated 2 years ago
- ☆20Updated 2 years ago
- Bayesian neural networks via MCMC: tutorial☆55Updated 7 months ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆65Updated 6 months ago
- Representation Learning MSc course Summer Semester 2023☆79Updated last year
- Neat Bayesian machine learning examples☆58Updated 4 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆58Updated last year
- 🦍 Stanford CS236 : Deep Generative Models☆141Updated 6 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 4 years ago
- Bayesian Methods for Machine Learning☆64Updated 5 years ago
- Simple (and cheap!) neural network uncertainty estimation☆66Updated last week
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆52Updated last year
- Code repository of ml-without-tears blog: https://mlwithouttears.com/☆36Updated last year
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆27Updated 11 months ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆22Updated 3 years ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆176Updated 4 years ago
- Lab session of the course generative modeling☆14Updated 2 years ago