Pinned Repositories
bachelorthesis
CAR_E
CARE-E - An open source voice assistant for the elderly
CHEERS-challenge
CoMTE
Counterfactual Explanations for Multivariate Time Series Data
coronastatus
🇳🇴🇳🇱🇸🇰🇩🇰🇨🇴🇮🇹🇫🇷🇲🇽🇺🇸🇺🇦🇪🇸🇨🇦🇦🇺🇸🇬🇲🇾🇦🇷🇲🇹🇨🇱🇮🇳 Join the fight! Open source webapp that let people report their health status to get overview of COVID-19
coronavirus-info-skill
Information about the coronavirus and latest information
covid19-classification
Classifying Covid19 cases data with Neural Networks
datasciencelab
Data Science SBWL Course V
fund-for-ukraine
lithuanian_ai_hackathon
Code for the Hackathon organised by the Artificial Intelligence Association of Lithuania (March 16-22)
mantasbandonis's Repositories
mantasbandonis/covid19-classification
Classifying Covid19 cases data with Neural Networks
mantasbandonis/lithuanian_ai_hackathon
Code for the Hackathon organised by the Artificial Intelligence Association of Lithuania (March 16-22)
mantasbandonis/CAR_E
CARE-E - An open source voice assistant for the elderly
mantasbandonis/CHEERS-challenge
mantasbandonis/CoMTE
Counterfactual Explanations for Multivariate Time Series Data
mantasbandonis/coronastatus
🇳🇴🇳🇱🇸🇰🇩🇰🇨🇴🇮🇹🇫🇷🇲🇽🇺🇸🇺🇦🇪🇸🇨🇦🇦🇺🇸🇬🇲🇾🇦🇷🇲🇹🇨🇱🇮🇳 Join the fight! Open source webapp that let people report their health status to get overview of COVID-19
mantasbandonis/coronavirus-info-skill
Information about the coronavirus and latest information
mantasbandonis/fund-for-ukraine
mantasbandonis/covid19_google_scraper
Parser for Covid 19 Google Numbers
mantasbandonis/dapp-tools
A collection of dapp tools that are displayed on DappRadar dapp pages
mantasbandonis/db-health-client
Healthcare Database DBSM Homework FH. St. Pölten
mantasbandonis/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
mantasbandonis/explaining-deep-gait-classification
Code and Data used for the paper "On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence"
mantasbandonis/FCD
Fréchet ChemNet Distance: A quality measure for generative models for molecules
mantasbandonis/guacamol
Benchmarks for generative chemistry
mantasbandonis/guacamol_baselines
Baselines models for GuacaMol benchmarks
mantasbandonis/interpretable-ml-book
Book about interpretable machine learning
mantasbandonis/intro-to-nrt-2022
mantasbandonis/MediCSS2020_sharing_repo
Code sharing repository for MediCSS project
mantasbandonis/openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 150 supported car makes and models.
mantasbandonis/pytorch-vqa
Strong baseline for visual question answering
mantasbandonis/recsys-twitter
Repository for the RecSys-Twitter challenge for the course Learning from User Generated Data
mantasbandonis/rust-task-lotto
Rust Task: Lotto Game
mantasbandonis/skill-npr-news
Mycroft AI official News Skill, providing the latest news report from your favorite broadcast.
mantasbandonis/sktime-dl
sktime companion package for deep learning based on TensorFlow
mantasbandonis/Smiles-GEN
GEN: Highly Efficient SMILES Explorer Using Autodidactic Generative Examination Networks
mantasbandonis/Statistical_Principles_of_DS
Group Project of the Statistical Principles of Data Science Course at Johannes Kepler University Linz
mantasbandonis/TSEGAN
The implement of the paper 'Time-domain Speech Enhancement with GenerativeAdversarial Learning'
mantasbandonis/va_python_dashboard
mantasbandonis/va_python_heatmap_and_scatterplot_matrix