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2d-and-3d-deep-autoencoder

Convolutional AutoEncoder application on MRI images

3dcnn-vis

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification

3dnet_visualization

Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150)

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

bccd_dataset

BCCD Dataset is a small-scale dataset for blood cells detection.

benchmark_results

visual tracker benchmark results

btclassification

Brain tumor classification on structural MR images of BraTS dataset based on 3D Multi-Scale Convolutional Neural Network, which is a part of my master thesis project.

convolutionalautoencoder

A very simple convolutional autoencoder implemented in lasagne, applied to MNIST as an example

deep-q-learning

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

deepfakes_faceswap

from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deformable-convnets

Deformable Convolutional Networks

dicom_tools

DICOM manipulation tools for MATLAB

dsb17_3d_lung_nodule_classifier

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

fire-smoke-dataset

An image dataset for training fire and frame detection AI

fireanalysis

imbalance-xgboost

XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions

interpretablecnn

keras-grad-cam

An implementation of Grad-CAM with keras

keras-gradcam

Keras implementation of GradCAM.

keras-multiprocess-image-data-generator

Accelerating Deep Learning with Multiprocess Image Augmentation in Keras

keras-resnet3d

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

lv-segmentation-in-cardiac-mri

semi-automatic segmentation of LV in cardiac MR images

ml-stat-util

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

models

Models and examples built with TensorFlow

nucleisegmentation

cGAN-based Multi Organ Nuclei Segmentation

practice-mass

learning material

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

radiomics

MATLAB programming tools for radiomics analysis