sixitingting

Ting Luo's starred repositories

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

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AbsegNet

[RedJournal2023]Comprehensive evaluation of a deep learning model for automatic organs at risk segmentation on heterogeneous computed tomography images for abdominal radiotherapy.

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dicomsort

A project to provide custom sorting and renaming of dicom files

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:robot: 字幕组机翻小助手 - 【功能1：翻译字幕文件】 .srt .ass .vtt 【功能2：语音转文字】（拖入视频或音频识别出字幕） (最新版 v4.1.0 更新时间2021年2月23号) 可配置12家翻译服务商，如谷歌,百度,腾讯,彩云,IBM,Azure,Amazon等（可配置6家语音服务商：阿里云，讯飞，腾讯云，IBM，Azure，Amazon ）优点：1. 可以用多家服务商，2. 自己配 API Key 用自己账户的免费额度，比如腾讯每月有500万字符的免费翻译额度，IBM 500分钟的语音转文字免费额度(tern.best 那个域名过期了我不想续费了）Azure 语音转文字和 DeepL 免费版出了问题，用不了是正常的，请等待下个版本修复。

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medical_transformers

Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"

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CovidPrognosis

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

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awesome-transformers-in-medical-imaging

A collection of resources on applications of Transformers in Medical Imaging.

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torchinfo

View model summaries in PyTorch!

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PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

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onnx2tflite

Tool for onnx->keras or onnx->tflite. If tool is useful for you, please star it.

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MeshNet

MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)

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MeshProcessing

Convert binary map to mesh. The binary map is in nifti format and the mesh is in stl file type.

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MeshCNN_Tutorial

This tutorials goes deep into the details of the why and how of the seminal paper - MeshCNN. You will find all the details including the ones not explained in the research paper.

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2D-and-3D-Deep-Autoencoder

Convolutional AutoEncoder application on MRI images

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pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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grad-cam-pytorch

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

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DevNet

An implementation of Deviation Network with a case on the credit card fraud dataset.

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CCD

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

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memAE

unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Anomaly Detection

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