ellisdg

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

imgaug

Image augmentation for machine learning experiments.

3D-Machine-Learning

A resource repository for 3D machine learning

nnUNet

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

glow

Compiler for Neural Network hardware accelerators

gradient-checkpointing

Make huge neural nets fit in memory

pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

hands-on-transfer-learning-with-python

Deep learning simplified by transferring prior learning using the Python deep learning ecosystem

medpy

Medical image processing in Python

HCPpipelines

Processing pipelines for the HCP

RSNA2019_Intracranial-Hemorrhage-Detection

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

brats17

Brain tumor segmentation for MICCAI 2017 BraTS challenge

bctpy

brain connectivity toolbox for python

medSynthesisV1

This is a copy of package for medical image synthesis work with LRes-ResUnet and GAN (wgan-gp) in pytorch framework

Brats21_KAIST_MRI_Lab

Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge

randopt

Streamlined machine learning experiment management.

pirateAI

Pirate trainer (Deep Learning, Autonomous Agents, 3D, Unity, Hyperopt, Keras)

connectomemapper3

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.

C-PAC

Configurable Pipeline for the Analysis of Connectomes

baselines-A2C

[DEPRECATED] Advantage Actor Critic model in PyTorch inspired by OpenAI baselines TensorFlow implementation

brainx

Tools for analysis of brain imaging-derived networks, based on NetworkX

load_confounds

Load fMRIprep confounds in python

nitransforms

a standalone fork of nipy/nibabel#656

TemplateBuildingExample

Just when I thought you couldn’t possibly be any dumber, you go and do something like this… and totally redeem yourself!

Adaptive-Thresholding

Combination of Gamma Gaussian Mixture model and topological FDR for thresholding fMRI statistical maps.

nmpevqvae

Neuromorphologicaly Preserving Volumetric Data Encoding Using VQ-VAE

dandi-hub

Infrastructure and code for the dandihub

reprohub

Infrastructure and code for the dandihub

fMRIConnectome

A collection of codes to construct and analyze fMRI connectivity networks.