AWalkInClouds's repositories
pm-prophet
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
Bayesian-HMM
A non-parametric Bayesian approach to Hidden Markov Models
Bayesian-multivariate-time-series-causal-inference
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
covid_bayesian_mcmc
Bayesian Markov Chain Monte Carlo Forecast for COVID-19
Data-Analysis
Data Science Using Python
gp_regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
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.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
mcmc_pydata_london_2019
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
mlr3examples
General Discussion of mlr3 and examples
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
philentropy
Information Theory and Distance Quantification with R
PythonRobotics
Python sample codes for robotics algorithms.
rstan
RStan, the R interface to Stan
scipy2014_tutorial
Tutorial: Bayesian Statistical Analysis in Python
shap
A unified approach to explain the output of any machine learning model.
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
tsfresh
Automatic extraction of relevant features from time series:
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow