Vanessa Grass's starred repositories
fMRI-Data-Analysis-using-Amazon-Web-Services
Functional magnetic resonance imaging (fMRI) is an imaging technique that provides valuable insights on the structure and functionality of the brain. The images resulting from fMRI scans are usually analyzed to gain insight into brain activity as a subject performs a task. This information can be analyzed to potentially classify patients or find causality structures in the brain. We have used SVM to classify patients as either schizophrenic or non-schizophrenic using their fMRI images. We show that the analysis of complex fMRI data on a large scale is possible using Apache Spark and Amazon Web Services.
segmentation-svm
Code to segment 3D MRI images using the random walk method and latent SVM
Brain-Tumor-MRI-Segmentation-using-PSO-and-WOA
The project aims at comparing results achieved by Particle Swarm Optimization (PSO) and Whale Optimization Algorithm (WOA) in segmentation of MRIs of Brain Tumor. The above mentioned algorithms are used for segmenting each MRIs in three clusters Skull, White matter and Tumor. SVM was used to train the dataset.
diabetesNeuralNetwork
A neural network using Keras that classifies risk for diabetes based on health data.
braindecode
Outdated, see new https://github.com/braindecode/braindecode
ElectrophysiologyData
A list of openly available datasets in (mostly human) electrophysiology.
style-transfer
An implementation of "A Neural Algorithm of Artistic Style" by L. Gatys, A. Ecker, and M. Bethge. http://arxiv.org/abs/1508.06576.
image_captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
deep-learning-data-institute
Repo for the course "Fundamentals of Deep Learning with Pytorch"
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
awesome-deep-learning-papers
The most cited deep learning papers
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
pytorch-kaggle-starter
Pytorch starter kit for Kaggle competitions
EDSR-Tensorflow
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
AI_for_healthcare
This is the code for "AI for Healthcare" By Siraj Raval on Youtube
torch-Video-Tutorials
Light your way in Deep Learning with Torch 🔦
PytorchWCT
This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.
fastai_deeplearn_part1
Notes for Fastai Deep Learning Course
jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
kaggle-cli
(Deprecated, use https://github.com/Kaggle/kaggle-api instead) An unofficial Kaggle command line tool.
Deep-Image-Analogy-PyTorch
Visual Attribute Transfer through Deep Image Analogy in PyTorch!