mrajchl

mrajchl's Stars

• neovim/neovim

  Vim-fork focused on extensibility and usability

  Language:Vim Script82.9k97711.8k5.7k

• tmuxinator/tmuxinator

  Manage complex tmux sessions easily

  Language:Ruby12.7k148513629

• NVIDIA/DIGITS

  Deep Learning GPU Training System

  Language:HTML4.1k3181.5k1.4k

• maxpumperla/hyperas

  Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

  Language:Python2.2k63257318

• DLTK/DLTK

  Deep Learning Toolkit for Medical Image Analysis

  Language:Python1.4k10131405

• iExecBlockchainComputing/iexec-sdk

  CLI and JS library allowing developers to easily interact with the iExec stack

  Language:JavaScript411426838

• sk1712/gcn_metric_learning

  Metric Learning with Graph Convolutional Neural Networks

  Language:Python20391171

• martinkersner/train-CRF-RNN

  Train CRF-RNN for Semantic Image Segmentation

  Language:Python199145092

• parisots/population-gcn

  Graph CNNs for population graphs

  Language:Python1688771

• openmole/openmole

  Workflow engine for exploration of simulation models using high throughput computing

  Language:Scala1442045137

• DLTK/models

  DLTK Model Zoo

  Language:Jupyter Notebook11413727

• DIAGNijmegen/StreamingCNN

  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 the input data. Here we demonstrate a method to train convolutional neural networks while holding only parts of the image in memory.

  Language:Jupyter Notebook988622

• BioMedIA/IRTK

  The Image Registration Toolkit

  Language:C++76201243

• faustomilletari/TOMAAT

  TOMAAT server-side

  Language:Python25834

• ASETS/asetsMatlabMaxFlow

  Matlab implementation of continuous max flow variants

  Language:Matlab20727

• ledigchr/MALPEM

  MALPEM whole-brain segmentation framework

  Language:Python2021110

• ASETS/asetsMatlabLevelSets

  Variational Time-Implicit LevelSets for Image Segmentation

  Language:C13304

• goldsborough/cytogan

  Repository for my research on generative modelling of cell images

  Language:Python13302

• petteriTeikari/twoPhotonVessels

  Analysis for 2-PM vasculature

  Language:Matlab95011

• lmkoch/multi-atlas-graph-labelling

  Multi-Atlas Segmentation as a Graph Labelling Problem

  Language:Matlab3301