christina-winkler

clim-var-ds-cnf

This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️

clim-var-pred-cnfs

Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows. 🌎

cnfs-super-resolution

Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.

commit-template-for-humans

An approachable git message template for normal people, including instructions on how to set it up.

disentanglement

Exploring Data Visualization, Dimensionality Reduction, and Disentanglement: Synthetic Data Analysis, PCA, and Factor Manipulation

flowjax

Multi-Scale-Content-Based-Image-Retrieval

Content-Based Image Retrieval (CBIR) is a significant field within computer vision that empowers efficient exploration and retrieval of images based on their visual content.

Programming-Bachelor-Exercises

C++ Exercises from Bachelors Econometrics and Operations Research, Maastricht University.

quirky-quokka

Environment-related differences of Deep Q-Learning and Deep Double Q-Learning

uvadlc_practicals_2020

christina-winkler/cnfs-super-resolution

Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.

christina-winkler/clim-var-ds-cnf

This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️

christina-winkler/clim-var-pred-cnfs

Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows. 🌎

christina-winkler/Multi-Scale-Content-Based-Image-Retrieval

Content-Based Image Retrieval (CBIR) is a significant field within computer vision that empowers efficient exploration and retrieval of images based on their visual content.

christina-winkler/commit-template-for-humans

An approachable git message template for normal people, including instructions on how to set it up.

christina-winkler/disentanglement

Exploring Data Visualization, Dimensionality Reduction, and Disentanglement: Synthetic Data Analysis, PCA, and Factor Manipulation

christina-winkler/flowjax

christina-winkler/Gaussianization_Flows

christina-winkler/google-research

Google Research

christina-winkler/gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

christina-winkler/Programming-Bachelor-Exercises

C++ Exercises from Bachelors Econometrics and Operations Research, Maastricht University.

christina-winkler/Pytorch-Backprojection

This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019

christina-winkler/segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

christina-winkler/StatisticalMethods

Course notes and resources for Stanford University graduate lecture course PHYS366: Special Topics in Astrophysics: Statistical Methods

christina-winkler/IB-INN

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)