lucasrm25 / Probabilistic-Machine-Learning
Repository for the course Probabilistic Machine Learning at Tübingen University
☆22Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Probabilistic-Machine-Learning
- Materials of the Nordic Probabilistic AI School 2023.☆86Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆131Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆68Updated 5 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆189Updated 7 months ago
- Extending Conformal Prediction to LLMs☆58Updated 5 months ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆118Updated 5 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆121Updated 2 years ago
- Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.☆26Updated 4 months ago
- Representation Learning MSc course Summer Semester 2023☆70Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆171Updated 2 years ago
- 11-785 Introduction to Deep Learning (IDeeL) website with logistics and select course materials☆36Updated this week
- Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteeme…☆54Updated 5 months ago
- Bayesian Learning and Neural Networks (jupyter book sources)☆52Updated last year
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆54Updated 4 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆162Updated 6 months ago
- ☆29Updated 5 years ago
- ☆14Updated 4 years ago
- Experiment with diffusion models that you can run on your local jupyter instances☆55Updated 3 weeks ago
- Implementing a Gaussian Process regression model from scratch☆22Updated 3 years ago
- All about the fundamentals and working of Diffusion Models☆152Updated last year
- ☆70Updated last year
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆106Updated 2 months ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆32Updated 7 years ago
- Simple (and cheap!) neural network uncertainty estimation☆55Updated 2 months ago
- Code related to different aspects of conformal learning☆15Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆36Updated 8 months ago
- A library for uncertainty quantification based on PyTorch☆119Updated 2 years ago
- STATS305C: Applied Statistics III (Spring, 2023)☆22Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆25Updated last year
- Neat Bayesian machine learning examples☆54Updated last month