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Imperial College London
- London, UK
- http://www.imperial.ac.uk/people/m.rajchl
Highlights
- Pro
Stars
Repository for my research on generative modelling of cell images
CLI and JS library allowing developers to easily interact with the iExec stack
To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory available in current GPUs, this limits the maximum dimensions of …
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Vim-fork focused on extensibility and usability
Metric Learning with Graph Convolutional Neural Networks
Matlab implementation of continuous max flow variants
Train CRF-RNN for Semantic Image Segmentation
Variational Time-Implicit LevelSets for Image Segmentation
Multi-Atlas Segmentation as a Graph Labelling Problem
Workflow engine for exploration of simulation models using high throughput computing