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Single file header-only C++ library for Poisson disk sampling in arbitrary dimensions.
Poisson deblurring via hybrid regularizer
Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict both the type of device and if the device is acting normally or abnormally.
GPU accelerated non-Cartesian magnetic resonance imaging reconstruction toolkit
Test datasets for use with PowerGrid
Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest
This project inspired by a recent acquisition activity is Bass Pro to acquire Cabela’s. I would like to look at the revenues and the market share of Cabela’s and one of its competitors, Dick’s Sporting Goods, prior to acquisition and see if there are any features/signals that can be seen in the last few months prior to acquisition. To test this effect with anterior data, I used both stock market and social media datasets to predict stock returns for Cabela’s and its main competitors. The test RMSE for my model is around 0.019.
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Accelerated dynamic MRI Using Patch Regularization for Implicit motion CompEnsation (PRICE)
GPU-based Total (Generalized) Variation implementation for various applications, with Python and Matlab wrappers.
Passive, Real-time Information for Sensing Mental Health
6.111 Final Project - Projected Piano
Repository containing pruned models and related information
Pyramid Scene Parsing Network, CVPR2017.
Tools for reconstructing Pulmonary MRI datasets to manage motion
Mask R-CNN for Pulmonary Nodules Diagnosis, using TensorFlow 天池医疗AI大赛:Mask R-CNN肺部结节智能检测(Segmentation + Classification)
Open source framework for pulse sequences
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
R-FCN with joint training and python support
Python implementation of the Sparse Filtering code by Ngiam et al.
Python Bloch Simulations
This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries
Python module for processing dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data
Python implementations of GRAPPA-like algorithms.
A collection of utilities for medical image reconstruction in Python.
A pythonic wrapper around the NFFT 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.