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3d-gan-pytorch-1

A pytorch implementation of 3D-GAN

3d-guided-face-mani

3D-Guided Face Manipulation of 2D Images for the Prediction of Post-Operative Outcome after Cranio-Maxillofacial Surgery

3d-mininet

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

3d-unet

A simple implementation of 3D-Unet on a 3D Prostate Segmentation Task

3d-unet-for-segmentation-of-lung-lobes-in-ct-volumes

3D U-Net for Segmentation of Lung lobes in CT volumes - Keras/Tensorflow

3dunet_lung_covid_segmentation

abide-fmri

Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.

accelerometers_wearable_data---getting_and_cleaning

The purpose of this project is to demonstrate my ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis.

airlinesapplication

Basic PHP and MySQL application

android-application-cholesterol-checker

android-cholesterol-checker

Android-Application-Cholesterol-Checker in Java

anti-aging_studies

anti-aging tests

artificial_curiosity

Adaptive Reinforcement Learning of curious AI basketball agents

autism-detection-in-adults

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

autism-detection-in-adults-1

This is a binary classification problem related with Autistic Spectrum Disorder (ASD) screening in Adult individual. Given some attributes of a person, my model can predict whether the person would have a possibility to get ASD using different Supervised Learning Techniques and Multi-Layer Perceptron.

autismclassifier

Decision tree classifier for Autism - Computational Medicine

autismdetection

Dans ce projet on a utilisé l'algorithme deep learning CNN pour détecter la présence d'autisme avec base ABIDE

automatic-liver-segmentation

using labeled and unlabeled (and doing the labeling manually) data, the data is basically medical files (NIfTI & DICOM images) to ensure a good segmentation of the liver

blenderxr

Use Blender in VR/AR/XR

blendmsh

Blendmsh is a bridge between Blender 2.80+ and Gmsh, a fast and light 3D finite element mesh generator.

bone-cancer-classifier

Diseases Prediction from MRI-CT data

bone-cancer-detection-using-markov-random-field-segmentation

MATLAB based project for Bone cancer detection by tumor identification using Markov Random Field Segmentation.

bone-segmentation

Source code behind the paper Fully automatic and fast segmentation of the femur bone

bonetextureextension

Slicer extensions for computing feature maps of N-Dimensional images using well-known texture analysis methods.

brfss_depression

To found out if there is any relation between age, gender, education, veteran, diet, exercise, income, marital status, body build(BMI), smoking, drinking alcohol, cholesterol level, blood pressure, and depression

can-you-find-the-tumour

Identifying tumours in breast mammograms using semantic segmentation in Tensorflow 2.0.

canvas-nest.js

:cancer: Interactive Particle / Nest System With JavaScript and Canvas, no jQuery.

catmaid-to-blender

Plugin for Blender to interface with CATMAID Server and Pull Data

cheap-bioprinter

Syringe extrusion Bioprinter Firmware

cholesterol-checker

Simple check of LDL and HDL numbers to determine cholesterol problems