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Hu Yu's Projects

aapm-ct-challenge icon aapm-ct-challenge

AAPM DL Sparse-View Computed Tomography Image Reconstruction Challenge - Team Robust-And-Stable

architect icon architect

Architect is a Jekyll theme for GitHub Pages

bootstrap icon bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cayman icon cayman

Cayman is a Jekyll theme for GitHub Pages

cs-books icon cs-books

📚 Computer Science Books 莥įŽ—æœē技术įąģäšĻįą PDF

cs-notes icon cs-notes

:books: Computer Science Learning Notes

daisydoc icon daisydoc

The documentation of the Daisy project.

densenet icon densenet

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

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fastbdt icon fastbdt

Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface

fullrmc icon fullrmc

It's a Reverse Monte Carlo (RMC) package, designed with Artificial intelligence and Reinforcement Machine Learning algorithms to solve atomic/molecular model structure by moving its atoms positions until they have the greatest consistency with a set of experimental data and definitions.

hep-ml-resources icon hep-ml-resources

Listing of useful learning resources for machine learning applications in high energy physics (HEPML)

itables icon itables

Pandas DataFrames as Interactive DataTables

jupyter-book icon jupyter-book

Create beautiful, publication-quality books and documents from computational content.

k3d-jupyter icon k3d-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

kaggle-titanic icon kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

meta icon meta

A community dedicated to supporting tools for technical and scientific communication and interactive computing

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