onefishy / am207Links
☆23Updated 2 years ago
Alternatives and similar repositories for am207
Users that are interested in am207 are comparing it to the libraries listed below
Sorting:
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆200Updated 2 years ago
- Neat Bayesian machine learning examples☆58Updated this week
- Harvard Applied Math 205: Code Examples☆98Updated 3 years ago
- Course notes for graduate-level class on numerical methods for deep learning☆52Updated 4 years ago
- ☆91Updated 2 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆73Updated 3 weeks ago
- Implementation of Markov Chain Monte Carlo in Python from scratch☆225Updated 5 years ago
- Introduction to Uncertainty Quantification☆258Updated 3 years ago
- Notebooks for "Probabilistic Machine Learning" book☆201Updated 3 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆137Updated last year
- Bayesian Learning course at Stockholm University☆157Updated last month
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆177Updated last year
- Repository for participants of the "Python software engineering" training☆46Updated 4 months ago
- Parallel Programming with Python Tutorial☆40Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆92Updated 7 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 5 years ago
- Statistical Inference Course☆43Updated last year
- My notes from class☆76Updated 7 years ago
- Python codes for Introduction to Computational Stochastic PDE☆49Updated 2 months ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- ☆11Updated 2 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Bayesian neural networks via MCMC: tutorial☆61Updated last year
- ☆30Updated 3 years ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- ☆27Updated 2 years ago
- Implementation of normalizing flows from 1d to Nd☆34Updated 4 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆191Updated last week