- Karlsruhe, Germany
Block or Report
Block or report eco3
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseStars
Language: Jupyter Notebook
Sort by: Most stars
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Automatic extraction of relevant features from time series:
Python code for "Probabilistic Machine learning" book by Kevin Murphy
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
DeltaPy - Tabular Data Augmentation (by @firmai)
pca: A Python Package for Principal Component Analysis.
This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
Bayesian time series forecasting and decision analysis
A normalizing flow using Bernstein polynomials for conditional density estimation.
NOGRAPHY is an encoding engine, that uses a dummy text and assigns different fonts to different letters in order to embed information. These fonts are hardly recognizable by sight but easily differ…