Hi there! 👋😊
I'm a PhD candidate working in reproductive medicine.
I'm passionate about computer vision and natural language processing.
Happy coding! 🤖
Name: Ping
Type: User
Bio: Neverstoplearning
A collection of resources and papers on Diffusion Models
A collection of pretrained models for StyleGAN3
A collection of resources on applications of Transformers in Medical Imaging.
PyTorch Implementation of BioBERT
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
A technical report on convolution arithmetic in the context of deep learning
my personal blog https://creatorcao.github.io/
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
my roadmap of learning deep learning
A deep learning-based fully-automatic intravenous contrast detection tool for head-and-neck and chest CT scans.
Official Repository for DiffiT: Diffusion Vision Transformers for Image Generation
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Code to reproduce analysis and figures for scRNA-seq analysis of endometriosis in Tan et al. 2021.
Faceswap with Pytorch or DeepFake with Pytorch
The fastai book, published as Jupyter Notebooks
简单易懂的LLaMA微调指南。
Generative Models by Stability AI
PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Hackathon Documentation - Simple to follow examples of how to use FHIR, DICOMweb and other modern helathcare/medical imaging APIs
A Keras implementation of hybrid efficientnet swin transformer model.
Improved WGAN in Pytorch
Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)
Examples and recipes for Llama 2 model
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
Long-form text-to-images generation, using a pipeline of deep generative models (GPT-3 and Stable Diffusion)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.