MoritzFeigl's Stars
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
openai/vdvae
Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"
neuralhydrology/neuralhydrology
Python library to train neural networks with a strong focus on hydrological applications.
ml-jku/hopular
Hopular: Modern Hopfield Networks for Tabular Data
helmholtz-analytics/heat
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
andrie/deepviz
An R Package to Visualize Neural Network Architectures