Yixiong Chen's starred repositories
stable-diffusion-webui
Stable Diffusion web UI
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
loss-landscape
Code for visualizing the loss landscape of neural nets
diffusiondb
A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
stable-diffusion-inspector
read pnginfo in stable diffusion generated images / inspect models
ImageReward
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation
improved-aesthetic-predictor
CLIP+MLP Aesthetic Score Predictor
SyntheticTumors
[CVPR 2023] Label-Free Liver Tumor Segmentation
coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Benchmarking-Awesome-Diffusion-Models
The benchmark of SOTA text-to-image diffusion models with a new benchmarking strategy based on MiniGPT-4, namely X-IQE.
Meta-Weight-Net_Code-Optimization
A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.