xhchrn

University of Texas at AustinAustin, TX, USA

Pinned Repositories

Provable_Plug_and_Play
[ICML 2019] Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Language:Python63 6 618
ALISTA
[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Language:Python62 4 120
LISTA-CPSS
[NeurIPS'18, Spotlight oral] "Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds", by Xiaohan Chen*, Jialin Liu*, Zhangyang Wang and Wotao Yin.
Language:Python56 6 324
Orthogonality-in-CNNs
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
Language:Python123 10 828
ACBEGAN
Language:Python10
deit
Official DeiT repository
Language:Python11
gegan
Language:Python10
lottery-ticket-reading-list
2 2 00
MS4L2O
Language:Python8 2 12

xhchrn's Repositories

xhchrn/MS4L2O
Language:Python8 2 12
xhchrn/lottery-ticket-reading-list
2 2 00
xhchrn/deit
Official DeiT repository
Language:Python11
xhchrn/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.
Language:Python
xhchrn/AdaptiveOptim
Adaptive optimization procedure
Language:Python
xhchrn/ALISTA
[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.
Language:Python1 0
xhchrn/ConfigArgParse
A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.
xhchrn/DPGN
This repository is the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.
Language:Python1 0
xhchrn/E2Train
[NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
Language:Python
xhchrn/Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
Language:Python
xhchrn/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Language:Python
xhchrn/few-shot-ctm
Few shot learning
Language:Python1 0
xhchrn/hidden-networks
Language:Python
xhchrn/learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
xhchrn/LG-FedAvg
Federated Learning with Local and Global Representations, NeurIPS 2019 FL workshop
Language:Python
xhchrn/lottery-ticket-hypothesis
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
Language:Python1 0
xhchrn/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.
Language:Python1 01
xhchrn/mamba
xhchrn/na-alista
Language:Jupyter Notebook1 0
xhchrn/nn_modularity
Language:Jupyter Notebook1 0
xhchrn/open_lth
A repository in preparation for open-sourcing lottery ticket hypothesis code.
Language:Python
xhchrn/pytorch-cifar
95.16% on CIFAR10 with PyTorch
Language:Python1 0
xhchrn/rfs
Language:Python1 0
xhchrn/rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
Language:Python
xhchrn/rigl-torch
Extremely lightweight & easy to use PyTorch implementation of the sparse model training method "RigL" by Google Research.
Language:Jupyter Notebook
xhchrn/st
My customization of suckless terminal (st)
Language:C
xhchrn/Synaptic-Flow
Language:Jupyter Notebook1 0
xhchrn/vimrc
The ultimate Vim configuration (vimrc)
Language:Vim Script
xhchrn/volo
VOLO: Vision Outlooker for Visual Recognition
xhchrn/website
Language:HTML2 0