selflein Goto Github PK

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

blog

calib_challenge_comma

Solution for the calibration challenge hosted by comma.ai

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deepfill-v2

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

dotfiles

dotfiles-wayland

earthquakeprediction-kaggle

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.

ebm-ood-detection-poster

efficientnet-pytorch

A PyTorch implementation of EfficientNet

energy_ood

fasth

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

fastmac

genomics_ood

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

google-ml-kit-plugin

A flutter plugin that implements google's standalone ml kit

graphnn-multi-object-tracking

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

hydra

Hydra is a framework for elegantly configuring complex applications

instabot.py

Instagram bot. It works without instagram api, need only login and password. Write on python.

jem

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

kryptographiews17

lagrange

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

ma-ebm

Implementation for experiments in Master Thesis.

manifold-flow

Manifold-learning flows (ℳ-flows)

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.

pose-estimation-tf2

posterior-network

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

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.