damek / STAT-4830
Official Github for Wharton STAT 4830
☆23Updated this week
Alternatives and similar repositories for STAT-4830:
Users that are interested in STAT-4830 are comparing it to the libraries listed below
- Tutorials and sampling algorithm comparisons☆70Updated this week
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆84Updated 11 months ago
- Neat Bayesian machine learning examples☆54Updated last month
- A Simple Statistical Distribution Library in JAX☆16Updated 10 months ago
- In which I learn about score functions and how they can be used to generate data.☆16Updated 10 months ago
- An introduction to functional programming for scalable statistical computing☆73Updated 7 months ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆25Updated 2 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆45Updated 3 months ago
- Public code for running Stochastic Gradient Descent on GPs.☆36Updated 3 months ago
- Jax SSM Library☆49Updated 2 years ago
- ☆95Updated 3 weeks ago
- Bayesian Bandits☆68Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 months ago
- Lectures on Quantitative Economics Using JAX☆32Updated this week
- Code related to different aspects of conformal learning☆15Updated 3 weeks ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆87Updated 9 months ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Self-tuning HMC algorithms and evaluations☆18Updated 4 months ago
- Cross-prediction-powered inference☆14Updated 9 months ago
- ☆20Updated 2 years ago
- ☆42Updated this week
- Bayesian inference and posterior analysis for Python☆44Updated last year
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- An HMC/NUTS implementation in Aesara☆32Updated last year
- Computational Statistics and Statistical Computing☆37Updated 3 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆43Updated 5 years ago
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆57Updated 4 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆195Updated 10 months ago
- Utilities for probabilistic ML☆33Updated last year
- Bayesian inference for a logistic regression model in various languages☆43Updated last year