davharris / mcmc-tutorialLinks
Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo
☆52Updated 12 years ago
Alternatives and similar repositories for mcmc-tutorial
Users that are interested in mcmc-tutorial are comparing it to the libraries listed below
Sorting:
- Image Classification using MXNetR☆56Updated 8 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- National Data Science Bowl☆20Updated 10 years ago
- A quick educational implementation of a random forest classifier and a decsion jungle classifier.☆28Updated 10 years ago
- ☆33Updated 5 years ago
- Mirror of Apache Spark☆24Updated 10 years ago
- Course materials for STA663☆37Updated 9 years ago
- Homesite Kaggle☆30Updated 9 years ago
- Repository for Chained Gaussian Processes☆14Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 5 months ago
- code for pydata madrid presentation☆53Updated 9 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 11 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- Talk on "Bayesian optimisation", beginner level☆25Updated 9 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Notebooks containing R code from Richard McElreath's Statistical Rethinking☆72Updated 9 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- ☆24Updated 9 years ago
- The programming assignments from CS228T offered in Spring 2012 at Stanford☆40Updated 12 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- LDA in Python.☆25Updated 11 years ago
- The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting☆18Updated 8 years ago
- MXNet Tutorial for NVidia GTC 2016.☆131Updated 9 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆15Updated 8 years ago