Convert DKB account CSV files to a Homebank compatible CSV format

Stellarium is a free GPL software which renders realistic skies in real time with OpenGL. It is available for Linux/Unix, Windows and macOS. With Stellarium, you really see what you can see with yo…

An extension of XGBoost to probabilistic modelling

An extension of LightGBM to probabilistic modelling

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Probabilistic Machine Learning: Advanced Topics

Browser for your pinned tabs

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

Metrics for verifying forecasts

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

DJI Tello drone controller python package

This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

Probabilistic Gradient Boosting Machines

Exploratory analysis of Bayesian models with Python

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Sliders to control matplotlib and other interactive goodies. Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook

pca: A Python Package for Principal Component Analysis.

Python package for missing-data imputation with deep learning

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Bayesian Modeling and Probabilistic Programming in Python

Bayesian time series forecasting and decision analysis

Deep Learning for humans

The fundamental package for scientific computing with Python.

a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)

A normalizing flow using Bernstein polynomials for conditional density estimation.

A terminal based graphical activity monitor inspired by gtop and vtop

An intuitive library to add plotting functionality to scikit-learn objects.

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, Dask, Flink and DataFlow