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Tingran Gao (trgao10)

trgao10

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Company:The University of Chicago

Location:Chicago, IL

Home Page:https://gaotingran.com

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Tingran Gao's repositories

SemiRiem

Code Accompanying Paper "Semi-Riemannian Manifold Optimization" (arXiv:1812.07643)

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Cubik

Cubik: a visualization project for Rubik's Cube

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PuenteAlignment

Automatic Alignment of Large Collections of Anatomical Surfaces for Geometric Morphometrics

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VectorDiffusionMaps

MATLAB Implementation and Demo for Vector Diffusion Maps

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ConvFramelet

MATLAB code accompanying the paper "A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets" (SIAM J. Imaging Sci., 10(2), 711–750)

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cPdist

A MATLAB implementation of the Continuous Procrustes Distance

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GOS-SynCut

Code Accompanying the paper "The Geometry of Synchronization Problems and Learning Group Actions"

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PuenteAlignment-Slurm

Automatic Alignment of Anatomical Surface Collections for Geometric Morphometrics

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ShapeUQ

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ConceftLab

ConceFT and Other Animals

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HDM

Hypoelliptic Diffusion Maps

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trgao10.github.io

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cdlatex

Fast input methods for LaTeX environments and math

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dojo_rules

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geiger-v2

A suite of methods and models for studying evolutionary radiations

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hecate

Consistent segmentation of biological surface regions using Horizontal Diffusion Maps (HDM)

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jupyter-emacskeys

Emacs keybindings for Jupyter notebook

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LGA-SBM-SMAC

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manopt

Manopt, a Matlab toolbox for optimization on manifolds

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numeric

Numerical analysis in Javascript

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progfun-wiki

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RDBR

Recursive Diffeomorphism-Based Regression for Shape Functions

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Robinhood-1099-Parser

Parse Robinhood 1099 Tax Document from PDF into CSV

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scikit-learn

scikit-learn: machine learning in Python

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ShapeID

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SST_compare

A comparison of serveral localized time-frequency transforms

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stat212b

Topics Course on Deep Learning UC Berkeley

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SyncAuto3DGM

Automated 3D Geometric Morphometrics based on Synchronization

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tensorflow-embeddings-minimalistic-example

TensorFlow Embeddings: Minimalistic Example

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two-sample-anisotropic

This repository contains code for the paper: "Two-sample Statistics Based on Anisotropic Kernels" by Xiuyuan Cheng, Alexander Cloninger, and Ronald R. Coifman

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