selflein

DeepFill-v2

Unofficial PyTorch Implementation of "Free-Form Image Inpainting with Gated Convolution" published at ICCV 2019.

dotfiles

EBM-OOD-Detection

Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning.

GraphNN-Multi-Object-Tracking

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

MA-EBM

Implementation for experiments in Master Thesis.

MG-GAN

Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.

nn_uncertainty_eval

Uncertainty Evaluation for Neural Networks.

PriorNetworks

Fork reproducing results on the synthetic dataset presented in the paper "Predictive Uncertainty Estimation via Prior Networks".

Self-Supervised-Dense-Descriptor-Learning

Implementation of U-Net for self-supervised dense descriptor learning.

selflein.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

selflein/GraphNN-Multi-Object-Tracking

Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"

selflein/MG-GAN

Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.

selflein/EBM-OOD-Detection

Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning.

selflein/DeepFill-v2

Unofficial PyTorch Implementation of "Free-Form Image Inpainting with Gated Convolution" published at ICCV 2019.

selflein/MA-EBM

Implementation for experiments in Master Thesis.

selflein/dotfiles

selflein/nn_uncertainty_eval

Uncertainty Evaluation for Neural Networks.

selflein/Self-Supervised-Dense-Descriptor-Learning

Implementation of U-Net for self-supervised dense descriptor learning.

selflein/selflein.github.io

:sparkles: Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

selflein/PriorNetworks

Fork reproducing results on the synthetic dataset presented in the paper "Predictive Uncertainty Estimation via Prior Networks".

selflein/blog

selflein/calib_challenge_comma

Solution for the calibration challenge hosted by comma.ai

selflein/dotfiles-cli

selflein/dotfiles-wayland

selflein/EarthquakePrediction-Kaggle

selflein/EBM-OOD-Detection-Poster

selflein/energy_ood

selflein/fasth

Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.

selflein/fastmac

selflein/genomics_ood

PyTorch Implementation for the Bacteria Genomics OOD dataset in "Likelihood Ratios for Out-of-Distribution Detection"

selflein/Google-Ml-Kit-plugin

A flutter plugin that implements google's standalone ml kit

selflein/hydra

Hydra is a framework for elegantly configuring complex applications

selflein/JEM

Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

selflein/KryptographieWS17

selflein/Lagrange

A minimalist Jekyll theme for running a personal blog powered by Jekyll and GitHub Pages

selflein/manifold-flow

Manifold-learning flows (ℳ-flows)

selflein/Pose-Estimation-TF2

selflein/Posterior-Network

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

selflein/socialways

Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs

selflein/VERA