Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
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Updated
Aug 1, 2023 - Python
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
Code repo for "Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution" (ECCVW AIM2020).
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural Networks
Spatial Pyramid Pooling layer implemented in NumPy and Tensorflow
Deep Reinforcement learning based tumour localisation
COVID-19 diagnosis using Chest-x rays using Deep Convolutional Neural Networks in Pytorch using limited resources
Automatic Image Orientation using Deep Learning
Protein localization in cell microscopy images Kaggle competition
Camera Pose Estimation using DELF
EraGenes is basically the combination of two latin words Era means age and Genes means gender. This project is basically about Extracting the basic key features from Human faces in Real time.
This project uses machine learning techniques to classify songs into different music genres. It analyzes various audio features and metrics to identify the genre of each song accurately.
Code for our paper "Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism", by I. Gkartzonika, N. Gkalelis, V. Mezaris, presented and included in the Proceedings of the ECCV 2022 Workshop on Vision with Biased or Scarce Data (VBSD), Oct. 2022.
DCGAN (Deep Convolutional Generative Adversarial Network) custom architecture builder and image synthesizer to specify the architecture of the generator and discriminator, visualize the models, train the GAN, synthesize images, and analyze synthetic imagery losslessly visualized.
DeepSplicer
Source code for DNN finetuning pipeline in paper <A controller-peripheral architecture and costly energy principle for learning>
Simple snake game using pygame library that AI can play using CNN with DQN
Deep CNN to classify pneumonia patients through x-ray images using PyTorch
My solutions to the assignments in Introduction to Machine Learning course at Tel Aviv University (course number: 0368-3235)
Deep Convolutional Encoder-Decoder Architecture implemented along with max-pooling indices for pixel-wise semantic segmentation using CamVid dataset.
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