dayang_wang (wdayang)

wdayang

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Location:MA, USA

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dayang_wang's starred repositories

mamba

Mamba SSM architecture

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open-llms

📋 A list of open LLMs available for commercial use.

DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

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consistency_models

Official repo for consistency models.

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BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:4799Issues:34Issues:197

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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VMamba

VMamba: Visual State Space Models,code is based on mamba

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score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1737Issues:17Issues:59

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

DDNM

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

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SyncDreamer

[ICLR 2024 Spotlight] SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

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minDiffusion

Self-contained, minimalistic implementation of diffusion models with Pytorch.

Awesome-diffusion-model-for-image-processing

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

TIGRE

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Language:MATLABLicense:BSD-3-ClauseStargazers:575Issues:44Issues:404

Diffusion-Models-in-Vision-A-Survey

This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1

only_train_once

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

Language:PythonLicense:MITStargazers:286Issues:13Issues:46

Swin-UMamba

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Language:PythonLicense:Apache-2.0Stargazers:240Issues:2Issues:18

DiffusionMBIR

Official PyTorch implementation of the CVPR 2023 paper "Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models (https://arxiv.org/abs/2211.10655)"

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DUCK-Net

Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )

Language:Jupyter NotebookLicense:CC-BY-4.0Stargazers:101Issues:3Issues:15

DDS

Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems" (https://arxiv.org/abs/2303.05754).

LD-CT-simulation

low dose CT simulator to yield low dose CT images from high-dose one

GMSD

Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction

Language:Jupyter NotebookStargazers:8Issues:1Issues:1
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simple-imagenet-test

A simple test code on Imagenet

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QuadraticNeurons

Superiority of Quadratic Over Conventional Neural Networks for Classification of Gaussian Mixture Data

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0