Minimal Jekyll theme for storytellers

Flood Data for NYC: A Comprehensive Inventory on NYC Open Data.

⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website

Bayesian Data Analysis course at Aalto

Bayesian Data Analysis demos for Python

Transportation Networks for Research

The Land & Transport Singapore dataset

LaTeX论文写作教程 (中文版)

Autocompletion with Deep Learning on Jupyter Notebook

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

Bayesian learning and inference for state space models

Time series forecasting with PyTorch

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

Machine learning for transportation data imputation and prediction.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Python implementation of Bayesian online changepoint detection

Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.

Implementation of deep learning models for time series in PyTorch.

Notebooks related to Bayesian methods for machine learning

R project participation in Google Summer of Code 2015