dimkastan

ATA-GAN

Demo code for Attention-Aware Generative Adversarial Networks paper

CreateCaffeProtFromPython

Examples for creating caffe prototxt models using Python

CudaViaCmake

This is a very simple project using CMake in order to create a project for compiling cuda with cpp code.

demos

Demos and tutorials for Torch7.

PythonUtilsForCaffe

Some very useful Python utilities for manipulating lmdb files for Caffe (append lmdb, inspect entries, etc)

PyTorch-Spectral-clustering

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

RaccoonsVsCats

Train a Deep CNN using images acquired automatically from google search with Selenium

sift-cnn-all-sky-images

torch-mobilenet

MobileNet Implementation of Torch Implemenetation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

TorchDemos

Some torch demos based on official torch examples with some extra features

dimkastan/PyTorch-Spectral-clustering

[Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch

dimkastan/ATA-GAN

Demo code for Attention-Aware Generative Adversarial Networks paper

dimkastan/sift-cnn-all-sky-images

dimkastan/RaccoonsVsCats

Train a Deep CNN using images acquired automatically from google search with Selenium

dimkastan/demos

Demos and tutorials for Torch7.

dimkastan/PythonUtilsForCaffe

Some very useful Python utilities for manipulating lmdb files for Caffe (append lmdb, inspect entries, etc)

dimkastan/CreateCaffeProtFromPython

Examples for creating caffe prototxt models using Python

dimkastan/CudaViaCmake

This is a very simple project using CMake in order to create a project for compiling cuda with cpp code.

dimkastan/dimkastan.github.io

GitHub Personal web site https://dimkastan.github.io/

dimkastan/LipReadingGreekWords

Repository for the paper "Lip Reading in unconstrained driving scenario with Greek words"

dimkastan/OpenCV_examples

Some simple but very usefull OpenCV examples

dimkastan/ORLandVLAD

Simple demonstration of the VLAD method for creating mid-level image representation for face recognition

dimkastan/pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

dimkastan/STEM_MachineLearningClass

Interdisciplinary Approach to Science, Technology, Engineering and Mathematics - STEM in Education- Lectures site

dimkastan/Torch-Train-on-food-dataset

Training a Deep neural network with torch- Application on food recognition

dimkastan/TorchDemos

Some torch demos based on official torch examples with some extra features

dimkastan/websocket_tutorials

dimkastan/torch-mobilenet

MobileNet Implementation of Torch Implemenetation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

dimkastan/caffe

Caffe: a fast open framework for deep learning.

dimkastan/DeepLearningPractice

Basically the neural network based implementation and corresponding notes.

dimkastan/DeepSky-classification-dataset

dimkastan/UnitTestPatterns

Some unit tests for c++ using cmake and Visual Studio