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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deit

Official DeiT repository

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2-FGNN

[ICLR 2023] "On Representing Mixed-Integer Linear Programs by Graph Neural Networks" by Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin.

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AdaptiveOptim

Adaptive optimization procedure

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ALISTA

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

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ConfigArgParse

A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.

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DPGN

This repository is the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

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E2Train

[NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy

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Early-Bird-Tickets

[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks

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Federated-Learning-PyTorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

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few-shot-ctm

Few shot learning

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learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

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LG-FedAvg

Federated Learning with Local and Global Representations, NeurIPS 2019 FL workshop

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lottery-ticket-hypothesis

A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

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LTH-Pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

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open_lth

A repository in preparation for open-sourcing lottery ticket hypothesis code.

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pytorch-cifar

95.16% on CIFAR10 with PyTorch

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rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

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rigl-torch

Extremely lightweight & easy to use PyTorch implementation of the sparse model training method "RigL" by Google Research.

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st

My customization of suckless terminal (st)

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vimrc

The ultimate Vim configuration (vimrc)

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volo

VOLO: Vision Outlooker for Visual Recognition

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