davidbarber / Julia0p6ProbabilisticInferenceEngineLinks
Basic probability manipulation routines for discrete variables
☆29Updated 7 years ago
Alternatives and similar repositories for Julia0p6ProbabilisticInferenceEngine
Users that are interested in Julia0p6ProbabilisticInferenceEngine are comparing it to the libraries listed below
Sorting:
- Basic probability manipulation routines for discrete variables☆47Updated 9 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- Modular Probabilistic Programming on MXNet☆104Updated 2 years ago
- Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"☆25Updated 11 years ago
- Advanced Topics in Scientific Computing with Julia☆93Updated 5 years ago
- Repository containing supplementary materials and code for "JuMP: A Modeling Language for Mathematical Optimization"☆27Updated 9 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- Demos and tutorials for ORIE 4741☆34Updated 3 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- A collection of IJulia notebooks related to optimization☆89Updated 5 years ago
- A Julia framework for probabilistic graphical models.☆53Updated 5 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Dirichlet Process K-means☆48Updated last year
- ☆77Updated 3 years ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- ☆70Updated 5 years ago
- This project contains the code for the OUP book Data Science & Complex Networks☆62Updated 9 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- ☆17Updated 9 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Updated 10 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 8 years ago
- ☆66Updated 5 years ago
- ☆30Updated 5 years ago
- ☆12Updated 5 months ago
- Julia AutoDiff☆28Updated 9 years ago
- Disciplined convex stochastic programming. For the cvxstoc home page, please see:☆32Updated 5 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- ☆41Updated 7 years ago
- Inference case studies in jupyter☆93Updated 7 years ago