ghalib-bello

MRC London Institute of Medical Sciences, Imperial College London

Imperial College London

Pinned Repositories

myk3d_jupyter
Language:Dockerfile10
4Dsurvival
Deep learning cardiac motion analysis for survival prediction
Language:Jupyter Notebook01
CNN-3D-images-Tensorflow
3D image classification using CNN (Convolutional Neural Network)
Language:Python00
3d-deep-learning
3D Deep Learning works
00
DeepSurv_Keras
DeepSurv code for keras
Language:Python10
4Dsegment
Deep learning cardiac segmentation and motion tracking
Language:Python00
activitynet-2016-cvprw
Tools to participate in the ActivityNet Challenge 2016
Language:Jupyter Notebook00
awesome-action-recognition
A curated list of action recognition and related area resources
00
c3d
C3D for Keras (only Tensorflow backend at the moment) with easy preprocessing and automatic downloading of TF format sports1M weights
Language:Python00
c3d-keras
C3D for Keras + TensorFlow
Language:Python00

ghalib-bello's Repositories

ghalib-bello/4Dsurvival
Deep learning cardiac motion analysis for survival prediction
Language:Jupyter Notebook1
ghalib-bello/4Dsegment
Deep learning cardiac segmentation and motion tracking
Language:Python
ghalib-bello/myk3d_jupyter
Language:Dockerfile1
ghalib-bello/vtk-js
Visualization Toolkit for the Web
Language:JavaScript
ghalib-bello/ipyvolume
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Language:Jupyter Notebook
ghalib-bello/jupyterlab
Demonstrating how to get JupyterLab working with Binder
Language:Jupyter Notebook
ghalib-bello/3d-deep-learning
3D Deep Learning works
ghalib-bello/jupyter-vtk-datawidgets
Jupyter bridge for VTK data
Language:Python
ghalib-bello/mutools3D
R package for Mass Univariate Analysis of 3D Phenotypes
Language:R
ghalib-bello/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Language:Jupyter Notebook
ghalib-bello/unsupervised-videos
Unsupervised Learning of Video Representations using LSTMs
Language:Cuda
ghalib-bello/keras-gcn
Keras implementation of Graph Convolutional Networks
Language:Python
ghalib-bello/awesome-action-recognition
A curated list of action recognition and related area resources
ghalib-bello/keras-hyperopt
Hyper-parameter optimization for Keras
Language:Python
ghalib-bello/ConvLSTM
Convolutional LSTM for video segmentation with Keras
Language:Python
ghalib-bello/DeepSurv
DeepSurv is a deep learning approach to survival analysis.
Language:Jupyter Notebook
ghalib-bello/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
Language:Python
ghalib-bello/keras-squeezenet
SqueezeNet implementation with Keras Framework
Language:Python
ghalib-bello/Video-Classification-2-Stream-CNN
Video Classification using 2 stream CNN
Language:Python
ghalib-bello/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language:Python
ghalib-bello/SurvivalNet
Deep learning survival models
Language:Python
ghalib-bello/activitynet-2016-cvprw
Tools to participate in the ActivityNet Challenge 2016
Language:Jupyter Notebook
ghalib-bello/c3d
C3D for Keras (only Tensorflow backend at the moment) with easy preprocessing and automatic downloading of TF format sports1M weights
Language:Python
ghalib-bello/c3d-keras
C3D for Keras + TensorFlow
Language:Python
ghalib-bello/CLR
Language:Jupyter Notebook
ghalib-bello/CNN-3D-images-Tensorflow
3D image classification using CNN (Convolutional Neural Network)
Language:Python
ghalib-bello/keras-resnet3d
Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.
Language:Python
ghalib-bello/sports-1m-dataset
Automatically exported from code.google.com/p/sports-1m-dataset
ghalib-bello/DeepSurv_Keras
DeepSurv code for keras
Language:Python1
ghalib-bello/Statistical-Shape-Model
Statistical shape model of the heart
Language:Python