Aristotelis-Angelos Papadopoulos's repositories
Question-Answering-with-BERT-and-Knowledge-Distillation
Fine-tuned BERT on SQuAd 2.0 Dataset. Applied Knowledge Distillation (KD) and fine-tuned DistilBERT (student) using BERT as the teacher model. Reduced the size of the original BERT by 40%.
Graph-Convolutional-Neural-Networks-for-Bankruptcy-Prediction-of-US-companies
Designed an Image Segmentation (SegNet) model and a Graph Convolutional Neural Network and applied them on a financial graph database provided by Bloomberg.
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Numerical-Unconstrained-Optimization-Solver
Implemented Gradient Descent, Newton, Modified Newton, DFP and BFGS numerical optimization algorithms in C from scratch and compared the results with the commercial AMPL'S MINOS solver.
awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
deep-learning-uncertainty
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Dow-Jones-Industrial-Average-DJIA-market-index-Prediction-using-Reddit-News-
Used NLP to extract important features from Reddit News and combined those features with Random Forest and Boosting algorithms to predict the DJIA market index movement.
Lending-Club-Loan-Charge-off-Prediction-using-Neural-Networks-and-Deep-Learning-Explanation-models
Built a Neural Network in Keras that beat the Top Voted Kaggle kernel and explained its predictions using Rules and the package "Anchors" proposed in the paper High Precision Model-Agnostic Explanations published in AAAI in 2018.
Human-Activity-Recognition
Human Activity Recognition using Time Series Classification
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
AristotelisPap.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
Relation-Network-Tensorflow
Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.
VAE-Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).