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☆225Updated last year
- Neat Bayesian machine learning examples☆58Updated 2 months ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆72Updated 2 weeks ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆199Updated 2 years ago
- Python codes for Introduction to Computational Stochastic PDE☆49Updated last month
- Implementation of Markov Chain Monte Carlo in Python from scratch☆226Updated 5 years ago
- Harvard Applied Math 205: Code Examples☆97Updated 3 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆53Updated 4 years ago
- Bayesian neural networks via MCMC: tutorial☆61Updated last year
- Python notebooks for Numerical Analysis☆156Updated 7 months ago
- Repository for participants of the "Python software engineering" training☆46Updated 4 months ago
- Notebooks for "Probabilistic Machine Learning" book☆201Updated 3 years ago
- ☆18Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆91Updated 7 years ago
- ☆90Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- Course notes for graduate-level class on numerical methods for deep learning☆52Updated 4 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Parallel Programming with Python Tutorial☆40Updated 2 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆161Updated 5 years ago
- PyTorch Code used in 'Introduction to Deep Generative Modeling'☆54Updated 4 years ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆178Updated last year
- ☆87Updated 3 years ago
- Course Reader based on Jupyter-Book☆42Updated 3 years ago
- Spring 2023 seminar on automated experiment☆22Updated 2 years ago
- ☆11Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 4 years ago
- Statistical Inference Course☆43Updated last year
- ☆55Updated last year