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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.

flowjax

gaussianization_flows

google-research

Google Research

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

ib-inn

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

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.

pytorch-backprojection

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

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

statisticalmethods

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