Pinned Repositories
COMPGW02_Web_Economics
Implementation of a bidding strategy to compete on a Real-Time-Bidding (RTB) environment, based on the iPinYou dataset. Part of UCL's Web Economics module.
courses
fast.ai Courses
DeepLearningMovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
keras
Deep Learning for humans
keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Keras-Tutorials
Simple tutorials using Keras Framework
Recipe-Flask-Web-App
Food Recipy Recommendation App using Flask and K-Means on the "Yummly" dataset.
stat-nlp-book
Interactive Lecture Notes, Slides and Exercises for Statistical NLP
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
UCL_Information-Retrival-Data-Mining_Stance-Detection
UCL Information Retrieval & Data Mining project. Work on "Stance Detection" problem, part of the "Fake News Challenge" (FNC).
asfakianakis's Repositories
asfakianakis/COMPGW02_Web_Economics
Implementation of a bidding strategy to compete on a Real-Time-Bidding (RTB) environment, based on the iPinYou dataset. Part of UCL's Web Economics module.
asfakianakis/courses
fast.ai Courses
asfakianakis/DeepLearningMovies
Kaggle's competition for using Google's word2vec package for sentiment analysis
asfakianakis/keras
Deep Learning for humans
asfakianakis/keras-resources
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
asfakianakis/Keras-Tutorials
Simple tutorials using Keras Framework
asfakianakis/Recipe-Flask-Web-App
Food Recipy Recommendation App using Flask and K-Means on the "Yummly" dataset.
asfakianakis/stat-nlp-book
Interactive Lecture Notes, Slides and Exercises for Statistical NLP
asfakianakis/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
asfakianakis/UCL_Information-Retrival-Data-Mining_Stance-Detection
UCL Information Retrieval & Data Mining project. Work on "Stance Detection" problem, part of the "Fake News Challenge" (FNC).