DimitrisCC

120-Data-Science-Interview-Questions

Answers to 120 commonly asked data science interview questions.

aalto-CS-E4850-computer-vision

Course notes and exercises for Aalto CS-E4850 Computer Vision

Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

CommunityTracking

Tracking communities in Dynamic Social Graphs with algorithms such as Timerank, GED and more. This is a fork from Ilias Sarantopoulos' original implementations.

DLProject

Project for the Deep Learning course on Graph Classification

Doors

Backgammon Doors implementation for AI Course using expectiMiniMax with probabilistic a-b pruning and java swing 2.5D graphics. (graphics code to be ultimately refined in the future)

GrPolitics_Twitter_SentAnalysis

Sentiment Analysis of Greek Political Twitter

image-manipulator

3-part C++ coded academic project that converts images from/to ppm and cpi format, compresses them to rle format using a run length encoding algorithm applied on blocks - data structures the image is split and also applies multiple filters such as gray, color, median, blur, diff

SecondEyes

A voice command assistant, created for the Human-Computer Interaction course of the CS department @ Athens University of Economics and Business

TextAsGraphClassification

Text transformed to a graph-of-words in order to be classified using graph kernels and a Convolutional Neural Network.

DimitrisCC/CommunityTracking

Tracking communities in Dynamic Social Graphs with algorithms such as Timerank, GED and more. This is a fork from Ilias Sarantopoulos' original implementations.

DimitrisCC/DLProject

Project for the Deep Learning course on Graph Classification

DimitrisCC/Awesome-CV

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

DimitrisCC/Bios6301

Biostatistics 301: Introduction to Statistical Computing

DimitrisCC/Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

DimitrisCC/Build-an-AI-Startup-with-PyTorch

test

DimitrisCC/Deep-Gaussian-Process

🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

DimitrisCC/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

DimitrisCC/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

DimitrisCC/Doubly-Stochastic-DGP

Deep Gaussian Processes with Doubly Stochastic Variational Inference

DimitrisCC/FBNN

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

DimitrisCC/GPflow-Slim

customized GPflow with simple Tensorflow API

DimitrisCC/GPPVAE

Gaussian Process Prior Variational Autoencoder

DimitrisCC/gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

DimitrisCC/HI-VAE

DimitrisCC/hyperbolic-image-embeddings

Supplementary code for the paper "Hyperbolic Image Embeddings".

DimitrisCC/Kaggle-course

Kernel for the Kaggle course of Aalto University about Porto Seguro's Safe Driver competition

DimitrisCC/Made-With-ML

Learn how to responsibly develop, deploy and maintain production machine learning applications.

DimitrisCC/ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

DimitrisCC/nssm-gp

Non-stationary spectral mixture kernels implemented in GPflow

DimitrisCC/pygcn

Graph Convolutional Networks in PyTorch

DimitrisCC/pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

DimitrisCC/pytorch-for-numpy-users

PyTorch for Numpy users.

DimitrisCC/RL-Project

RL stuff yeah

DimitrisCC/semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

DimitrisCC/STGCN-IJCAI-18

Spatio-Temporal Graph Convolutional Networks

DimitrisCC/sylvester-flows

Forked version of Sylvester flows that works with Python 3.7 and PyTorch 1.1

DimitrisCC/TCRGP

TCRGP, a novel Gaussian process method that can predict if TCRs recognize certain epitopes. This method can utilize different CDR sequences from both TCRα and TCRβ chains from single-cell data and learn which CDRs are important in recognizing the different epitopes.

DimitrisCC/tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

DimitrisCC/variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)