Xiaohan Chen (xhchrn)

xhchrn

Geek Repo

Company:University of Texas at Austin

Location:Austin, TX, USA

Home Page:http://xiaohanchen.com

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Xiaohan Chen's repositories

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baseplate

reddit's python service framework

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deepspeech.pytorch

Speech Recognition using DeepSpeech2.

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fast-MPN-COV

@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.

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FISTA

FISTA implementation in MATLAB (recently updated FISTA with backtracking)

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fonts

Font files available from Google Fonts

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hw-ruby-intro

Ruby Introduction Assignment for Agile Development using Ruby on Rails

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ksvd

A ksvd implementation written in python.

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Mailspring

:love_letter: A beautiful, fast and maintained fork of @Nylas Mail by one of the original authors.

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maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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onsager_deep_learning

Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"

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proxTV

Matlab and Python toolbox for fast Total Variation proximity operators

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pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

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r2d2

[ICLR'19] Meta-learning with differentiable closed-form solvers

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reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

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rottenpotatoes-rails-intro

RottenPotatoes app skeleton for saasbook/hw-rails-intro

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Self-Attention-GAN

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

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SF-Mono-Font

SF Mono Font

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sfwin

SFWin — San Francisco Fonts for Windows 10 and non-Apple Platform.

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stanford-cars

Classifying the Stanford Car dataset using ResNet 50

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TADAM

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning

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typo

Typo is the oldest and most powerful Ruby on Rails blogware, providing custom templates, powerful drag and drop plugins API, advanced SEO capabilities, XMLRPC API and many more.

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