Pinned Repositories
AAAI-FairRec
Fairrec: fairness-aware news recommendation with decomposed adversarial learning
adv-multvae
This repository accompanies the paper "Unlearning Protected User Attributes in Recommendations with Adversarial Training"
Apple-Store-Reserve-Monitor
Monitor status of the iPhone, iPad, and Apple Watch stock availability worldwide.
AppliedDeeplearning
Repository for lecture Applied Deeplearning, winter term 2019
coolgpus
GPU fan control for headless Linux
cuNVSM
Neural Vector Space Models
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deeplearning-models
A collection of various deep learning architectures, models, and tips
docker-homebridge
Homebridge Docker. HomeKit support for the impatient using Docker on x86_64, Raspberry Pi (armhf) and ARM64.
snrm-extension
★ Migration of SNRM's original TensorFlow code to PyTorch. (see extension-pytorch Branch) ★ Extension of SNRM to work with the MSMARCO passage ranking dataset. (see extension Branch). ★ Fork of the original Standalone Neural Ranking Model from Zamani et al. (see master branch).
Bernhard-Steindl's Repositories
Bernhard-Steindl/snrm-extension
★ Migration of SNRM's original TensorFlow code to PyTorch. (see extension-pytorch Branch) ★ Extension of SNRM to work with the MSMARCO passage ranking dataset. (see extension Branch). ★ Fork of the original Standalone Neural Ranking Model from Zamani et al. (see master branch).
Bernhard-Steindl/AAAI-FairRec
Fairrec: fairness-aware news recommendation with decomposed adversarial learning
Bernhard-Steindl/adv-multvae
This repository accompanies the paper "Unlearning Protected User Attributes in Recommendations with Adversarial Training"
Bernhard-Steindl/Apple-Store-Reserve-Monitor
Monitor status of the iPhone, iPad, and Apple Watch stock availability worldwide.
Bernhard-Steindl/AppliedDeeplearning
Repository for lecture Applied Deeplearning, winter term 2019
Bernhard-Steindl/coolgpus
GPU fan control for headless Linux
Bernhard-Steindl/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Bernhard-Steindl/deeplearning-models
A collection of various deep learning architectures, models, and tips
Bernhard-Steindl/docker-homebridge
Homebridge Docker. HomeKit support for the impatient using Docker on x86_64, Raspberry Pi (armhf) and ARM64.
Bernhard-Steindl/docs
TensorFlow documentation
Bernhard-Steindl/Expenso-iOS
A Simple Expense Tracker App built to demonstrate the use of SwiftUI, CoreData, Charts, Biometrics (Face & Touch ID) and MVVM Architecture.
Bernhard-Steindl/exportify
Export/Backup Spotify playlists using the Web API
Bernhard-Steindl/minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Bernhard-Steindl/ogd-at-lab
Notebooks for Austrian open gov data analysis
Bernhard-Steindl/playground
Play with neural networks!
Bernhard-Steindl/RecBole-FairRec
Implement Fair Recommendation Model In RecBole
Bernhard-Steindl/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Bernhard-Steindl/RecSys_Course_AT_PoliMi
This is the official repository for the Recommender Systems course at Politecnico di Milano.
Bernhard-Steindl/SecLists
SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.
Bernhard-Steindl/SigmaSwiftStatistics
A collection of functions for statistical calculation written in Swift.
Bernhard-Steindl/sna_topic_11
Exercise regarding link prediction on a data set of "Der Standard"
Bernhard-Steindl/spark
Apache Spark - A unified analytics engine for large-scale data processing
Bernhard-Steindl/Spotify-2-AppleMusic
Import your Spotify playlists into Apple Music for free
Bernhard-Steindl/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Bernhard-Steindl/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Bernhard-Steindl/stopp-corona-ios
iOS Source Code
Bernhard-Steindl/svae_cf
[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
Bernhard-Steindl/teaching
Information Retrieval Courses @ TU Wien
Bernhard-Steindl/web2text
Bernhard-Steindl/webdrivermanager
Automatic management of Selenium WebDriver binaries