- Bethesda, MD
- kbraunlich.github.io
Stars
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Mapping of Imagenet and Wikidata for Knowledge Graphs Enabled Computer Vision
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
Python package to corrupt arbitrary images.
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
Computations and statistics on manifolds with geometric structures.
EntroPy: complexity of time-series in Python (DEPRECATED)
A simple probabilistic programming language.
An R software package to write, train, tune, test, and compare machine-learning models of cognition
Code for experiments in the AAAI 2016 paper "Holographic Embeddings of Knowledge Graphs"