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3dgan-release

3D Generative Adversarial Network

adaptive-simulated-annealing

Adaptive Simulated Annealing (ASA) is a C-language code developed to statistically find the best global fit of a nonlinear constrained non-convex cost-function over a D-dimensional space.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

antspy

Advanced Normalization Tools in Python

antspynet

Medical image analysis framework merging ANTsPy and deep learning

arc-sync

Scripts for synchronizing a local cache with an XNAT project

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bigan

code for "Adversarial Feature Learning"

brainbrowser

Web-based visualization tools for neurological data.

brainsmash

Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

cifti-matlab

MATLAB code for reading and writing CIFTI connectivity files

computational-core

This documentation describes software and services associated with the Computational Core of the Neuroimaging Laboratories at Washington University in Saint Louis.

dcgan_code

Deep Convolutional Generative Adversarial Networks

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmrseg

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

dltk

Deep Learning Toolkit for Medical Image Analysis

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

docker-images

Dockerfiles and metadata for XNAT's container service

docker_tutorial

Code and helper scripts for article on Medium "How Docker Can Help You Become A More Effective Data Scientist". This fork uses centOS and more generic CUDA intentions.

dockerfile-templates

Dockerfile templates commonly used in BIDS Apps

gan_tutorial

Tensorflow example of a conv GAN on MNIST.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gen

A general-purpose probabilistic programming system with programmable inference

gen-quickstart-jjl

Docker file for building Gen and Jupyter notebooks for tutorials and case studies

gifti

MATLAB/Octave GIfTI Library

gradient_analysis

gym-pet-co

gym-pet-fdg

gym-pet-ho