Pinned Repositories
awesome-latex-drawing
Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.
bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
bocd
Python implementation of Bayesian online changepoint detection
drawing_figures
gsoc2015
R project participation in Google Summer of Code 2015
jupyter-tabnine
Autocompletion with Deep Learning on Jupyter Notebook
Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
Markov-Regime-switching-Model
MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
pytorch-forecasting
Time series forecasting with PyTorch
xiaoxuchen's Repositories
xiaoxuchen/Markov-Regime-switching-Model
xiaoxuchen/MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
xiaoxuchen/pytorch-forecasting
Time series forecasting with PyTorch
xiaoxuchen/awesome-latex-drawing
Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.
xiaoxuchen/bayesian-machine-learning
Notebooks related to Bayesian methods for machine learning
xiaoxuchen/bocd
Python implementation of Bayesian online changepoint detection
xiaoxuchen/drawing_figures
xiaoxuchen/gsoc2015
R project participation in Google Summer of Code 2015
xiaoxuchen/jupyter-tabnine
Autocompletion with Deep Learning on Jupyter Notebook
xiaoxuchen/Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
xiaoxuchen/latex-cookbook
LaTeX论文写作教程 (中文版)
xiaoxuchen/Link-travel-time-correlation
xiaoxuchen/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
xiaoxuchen/pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
xiaoxuchen/ssm
Bayesian learning and inference for state space models
xiaoxuchen/TimeSeries
Implementation of deep learning models for time series in PyTorch.
xiaoxuchen/transdim
Machine learning for transportation data imputation and prediction.
xiaoxuchen/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
xiaoxuchen/VSMHN
xiaoxuchen/xiaoxuchen.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes