Alternatives and similar repositories for gmseg

Users that are interested in gmseg are comparing it to the libraries listed below

• ameya005 / Deep-Segmentation
  Deep Learning methods for semantic segmentation with weakly labelled data
  ☆16Updated 9 years ago
• tschaffter / dm-docker
  Base and example Docker images for the Digital Mammography DREAM Challenge
  ☆15Updated 8 years ago
• the-moliver / kfs
  Keras for Science
  ☆72Updated 7 years ago
• qureai / ultrasound-nerve-segmentation-using-torchnet
  Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.
  ☆48Updated 9 years ago
• bckenstler / dsb17-walkthrough
  An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017
  ☆69Updated 8 years ago
• hadim / keras-toolbox
  Your every day Keras toolbox.
  ☆76Updated 7 years ago
• juliandewit / kaggle_ndsb2
  3rd place solution for the second kaggle national datascience bowl
  ☆92Updated 9 years ago
• yidarvin / DREAM_DM_starter_code
  Some starter code for training/testing some basic CNN models given our data.
  ☆10Updated 8 years ago
• omarsar / mri-analysis-pytorch
  MRI analysis using PyTorch and MedicalTorch
  ☆65Updated 6 years ago
• taoyizhi68 / keras-Spatial-Transformer-Layer
  Using Spatial Transformer Layer with keras (theano backend).
  ☆12Updated 9 years ago
• aosokin / biogans
  Implementation of "GANs for Biological Image Synthesis"
  ☆95Updated 7 years ago
• orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
  Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
  ☆93Updated 2 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆45Updated 10 years ago
• ELEKTRONN / ELEKTRONN
  A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks (superceded by https://github.com/ELEKTRONN/elektronn3)
  ☆40Updated 3 years ago
• rdevon / cortex_old
  Cortex - Deep learning tools for neuroimaging
  ☆31Updated 8 years ago
• alxndrkalinin / awesome-deepneuroimage
  A curated list of awesome deep learning applications in the field of neurological image analysis
  ☆153Updated 7 years ago
• delira-dev / delira
  Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow
  ☆220Updated 4 years ago
• divelab / dtn
  ☆57Updated 7 years ago
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 9 years ago
• DLTK / models
  DLTK Model Zoo
  ☆113Updated 7 years ago
• keunwoochoi / residual_block_keras
  Residual network block in Keras
  ☆72Updated 8 years ago
• drewabbot / kaggle-seizure-prediction
  ☆41Updated 10 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 8 years ago
• kondiz / casme
  ☆72Updated 5 years ago
• tymokvo / AEGeAN
  Deeper DCGAN with AE stabilization
  ☆38Updated last year
• scottykwok / cervix-roi-segmentation-by-unet
  ☆35Updated 7 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 5 years ago
• mdai / kaggle-lung-cancer
  Kaggle Data Science Bowl 2017
  ☆40Updated 8 years ago
• yhenon / fitted-learning
  Keras implementation of: Fitted Learning: Models with Awareness of their Limits
  ☆13Updated 8 years ago
• LucaAmbrogioni / Functional-GP-analysis-in-Python
  A python toolbox for GP analysis written in a functional programming style
  ☆22Updated 8 years ago