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Xiuyu Li's Projects

artgan icon artgan

ArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.

blog icon blog

My blog built with Gatsby & React

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

ddim icon ddim

Denoising Diffusion Implicit Models

freefood icon freefood

Freefood is an IOS app that can recommend surrounding Facebook events that offer free food at Cornell.

gptq icon gptq

Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".

lfr icon lfr

Not All Low-Pass Filters are Robust in Graph Convolutional Networks

minkowskiengine icon minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

ml-learning icon ml-learning

My implementation for some machine learning algorithms from scratch

nvae icon nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

pndm icon pndm

The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (ICLR 2022) and a generic framework for DDIM-like models

pro-gnn icon pro-gnn

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

pygcn icon pygcn

Graph Convolutional Networks in PyTorch

pytorch-studiogan icon pytorch-studiogan

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

q-diffusion icon q-diffusion

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

qlth icon qlth

QLTH is a 2-step model compression scheme that applies Post-Training Quantization on the ”winning tickets” or ”matching” derived by iterative magnitude prunning.

radioactive_data icon radioactive_data

This technique modifies image data so that any model trained on it will bear an identifiable mark.

rafiki icon rafiki

Rafiki is a distributed system that supports training and deployment of machine learning models using AutoML, built with ease-of-use in mind.

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