eco3's Stars
keras-team/keras
Deep Learning for humans
numpy/numpy
The fundamental package for scientific computing with Python.
dmlc/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, Dask, Flink and DataFlow
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
Stellarium/stellarium
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 your eyes, binoculars or a small telescope.
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
pyenv/pyenv-virtualenv
a pyenv plugin to manage virtualenv (a.k.a. python-virtualenv)
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
xxxserxxx/gotop
A terminal based graphical activity monitor inspired by gtop and vtop
reiinakano/scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
arviz-devs/arviz
Exploratory analysis of Bayesian models with Python
probml/pml2-book
Probabilistic Machine Learning: Advanced Topics
sonnyp/Tangram
Browser for your pinned tabs
hanyazou/TelloPy
DJI Tello drone controller python package
AlaaLab/deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
MatthewReid854/reliability
Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/
erdogant/pca
pca: A Python Package for Principal Component Analysis.
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
xarray-contrib/xskillscore
Metrics for verifying forecasts
simetenn/uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.
Kyushik/Predictive-Uncertainty-Estimation-using-Deep-Ensemble
This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
elephaint/pgbm
Probabilistic Gradient Boosting Machines
mpl-extensions/mpl-interactions
Sliders to control matplotlib and other interactive goodies. Works in any interactive backend and even uses ipywidgets when in a Jupyter notebook
MIDASverse/MIDASpy
Python package for missing-data imputation with deep learning
lavinei/pybats
Bayesian time series forecasting and decision analysis
hamvocke/dkb2homebank
Convert DKB account CSV files to a Homebank compatible CSV format
MArpogaus/TensorFlow-Probability-Bernstein-Polynomial-Bijector
A normalizing flow using Bernstein polynomials for conditional density estimation.