ccanonne / compx270Links
Lecture notes for the "Randomised and Advanced algorithms" class developed for the University of Sydney.
☆20Updated 8 months ago
Alternatives and similar repositories for compx270
Users that are interested in compx270 are comparing it to the libraries listed below
Sorting:
- Automated Bayesian model discovery for time series data☆82Updated 2 weeks ago
- Jupyter notebooks showing to implement statistical functions.☆14Updated 5 years ago
- Verty short course on evolutionary game theory☆178Updated last year
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- Lectures on Quantitative Economics Using JAX☆45Updated 3 weeks ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 7 months ago
- Flexible Bayesian nonparametric mixture models in C++☆27Updated 3 months ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Problems from Algorithms for Decision Making☆53Updated 8 months ago
- Slides for Bayesian Workshops across the world☆13Updated 2 years ago
- All typeset code blocks from the book, Algorithms for Decision Making.☆42Updated 2 years ago
- Port of Statistical Rethinking (2nd edition) code to Julia☆136Updated 3 years ago
- Robust implementation for random-walk Metropolis-Hastings algorithms☆116Updated last month
- ☆15Updated 6 years ago
- Home for the book-in-progress 'Bayesian Learning'☆28Updated this week
- StatististicalRethinking notebook project using Stan and Pluto notebooks.☆18Updated last year
- An introduction to DataFrames.jl for pandas users☆17Updated 2 years ago
- Data Science in Julia With Hackers☆121Updated 2 years ago
- Errata for Algorithms for Optimization book☆71Updated 6 months ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆32Updated 3 years ago
- ☆18Updated 2 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆24Updated 3 months ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 7 months ago
- ☆32Updated 3 months ago
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆30Updated 3 years ago
- Implementations of the models from the Statistical Rethinking book with Turing.jl☆163Updated 2 years ago
- An introductory 101 series to get to know the power of Julialang☆126Updated last year
- Selected Topics in Mathematical Optimization, now in Julia☆54Updated 3 years ago
- Tufte-style beamer template with Julia integration☆135Updated last year