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Name: John Lee
Type: User
Company: Washington University
Location: Saint Louis, Missouri
Name: John Lee
Type: User
Company: Washington University
Location: Saint Louis, Missouri
3D Generative Adversarial Network
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.
Code and hyperparameters for the paper "Generative Adversarial Networks"
Advanced Normalization Tools in Python
Medical image analysis framework merging ANTsPy and deep learning
Scripts for synchronizing a local cache with an XNAT project
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
code for "Adversarial Feature Learning"
Web-based visualization tools for neurological data.
Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity
MATLAB code for reading and writing CIFTI connectivity files
This documentation describes software and services associated with the Computational Core of the Neuroimaging Laboratories at Washington University in Saint Louis.
Deep Convolutional Generative Adversarial Networks
This repository contains implementations and illustrative code to accompany DeepMind publications
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Deep Learning Toolkit for Medical Image Analysis
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Dockerfiles and metadata for XNAT's container service
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 commonly used in BIDS Apps
Tensorflow example of a conv GAN on MNIST.
starter from "How to Train a GAN?" at NIPS2016
A general-purpose probabilistic programming system with programmable inference
Docker file for building Gen and Jupyter notebooks for tutorials and case studies
MATLAB/Octave GIfTI Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.