selflein Goto Github PK
Name: Sven
Type: User
Bio: Studying Computer Science at Technical University of Munich. Interested in Machine Learning Research.
Location: Munich, GER
Blog: selflein.github.io
Name: Sven
Type: User
Bio: Studying Computer Science at Technical University of Munich. Interested in Machine Learning Research.
Location: Munich, GER
Blog: selflein.github.io
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Solution for the calibration challenge hosted by comma.ai
Dual Attention Network for Scene Segmentation (CVPR2019)
Unofficial PyTorch Implementation of "Free-Form Image Inpainting with Gated Convolution" published at ICCV 2019.
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.
A PyTorch implementation of EfficientNet
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
PyTorch Implementation for the Bacteria Genomics OOD dataset in "Likelihood Ratios for Out-of-Distribution Detection"
A flutter plugin that implements google's standalone ml kit
Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"
Hydra is a framework for elegantly configuring complex applications
Instagram bot. It works without instagram api, need only login and password. Write on python.
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
A minimalist Jekyll theme for running a personal blog powered by Jekyll and GitHub Pages
Implementation for experiments in Master Thesis.
Manifold-learning flows (ℳ-flows)
Code for our paper "MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction" published at ICCV 2021.
Uncertainty Evaluation for Neural Networks.
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)
Fork reproducing results on the synthetic dataset presented in the paper "Predictive Uncertainty Estimation via Prior Networks".
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.