Xiaohan Chen's repositories
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.
vimrc
The ultimate Vim configuration (vimrc)
ConfigArgParse
A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
pytorch-cifar
95.16% on CIFAR10 with PyTorch
learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
volo
VOLO: Vision Outlooker for Visual Recognition
Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
E2Train
[NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
LG-FedAvg
Federated Learning with Local and Global Representations, NeurIPS 2019 FL workshop
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
rigl-torch
Extremely lightweight & easy to use PyTorch implementation of the sparse model training method "RigL" by Google Research.
rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
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.
AdaptiveOptim
Adaptive optimization procedure
lottery-ticket-hypothesis
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
few-shot-ctm
Few shot learning
DPGN
This repository is the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.
st
My customization of suckless terminal (st)
ALISTA
[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.