Georgios Kyritsis's repositories
aimlx-demos
Client-Server Architecture for the AIMLX Swisscom Group Demos
cnn_finetune
Fine-tune CNN in Keras
CyclicLR_Scheduler_PyTorch
A PyTorch implementation of Cyclical Learning Rates
Data-Science--Cheat-Sheet
Cheat Sheets
dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
gitignore
A collection of useful .gitignore templates
good-morning
Simple Python module for downloading fundamental financial data from financials.morningstar.com.
googLeNet
here is my implementation of the basic googLeNet describe in the paper "Going Deeper with Convolutions" in keras
iso-country-codes
Python dictionary of 2-digit country codes (ISO 3166-1 alpha-2)
keras-resnet
Residual networks implementation using Keras-1.0 functional API
keras_alexnet
to study paper
kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
LeNet_LeKeras
neural network sandbox using Keras
neural_nets
TensorFlow Implementation of classic neural networks
nickname-and-diminutive-names-lookup
A CSV file that containing US given names (first name) and their associated nicknames or diminutive names.
SentimentAnalysis_CNN_RNN
An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. First, it imports the IMDB movie set, then uses a Convolutional Neural Network (CNN) to extract out invariant features detailing a good or bad movie review. Finally, it passes it through a recursive neural network (RNN) using LSTMs to learn the state transitions of the invariant features.
slate
Beautiful static documentation for your API
spektral
Graph Neural Networks with Keras and Tensorflow.
toolbox
The Docker Toolbox
VGG
Keras implementation of VGG from the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition" - https://arxiv.org/abs/1409.1556