AristotelisPap

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-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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.

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.

Human-Activity-Recognition

Human Activity Recognition using Time Series Classification

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.

Multi-class-and-Multi-Label-Classification-Using-Support-Vector-Machines

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.

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%.

AristotelisPap/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%.

AristotelisPap/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.

AristotelisPap/Multi-class-and-Multi-Label-Classification-Using-Support-Vector-Machines

AristotelisPap/deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

AristotelisPap/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.

AristotelisPap/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

AristotelisPap/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.

AristotelisPap/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.

AristotelisPap/HDGE

AristotelisPap/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.

AristotelisPap/Human-Activity-Recognition

Human Activity Recognition using Time Series Classification

AristotelisPap/anchor

Code for "High-Precision Model-Agnostic Explanations" paper

AristotelisPap/AristotelisPap.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

AristotelisPap/awesome-anomaly-detection

A curated list of awesome anomaly detection resources

AristotelisPap/Relation-Network-Tensorflow

Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

AristotelisPap/shap

A unified approach to explain the output of any machine learning model.

AristotelisPap/VAE-Tensorflow

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).