Pinned Repositories
autoencoder
azure_v2ray
Deploy V2Ray (Web Socket + TLS) using docker compose with Nginx
Conditional_Diffusion
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
dice
Digital Image Correlation Engine (DICe): a stereo DIC application that runs on a desktop or high performance computing platform (massively parallel)
DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
fork
A library that offers the fastest way to execute Android instrumentation tests.
hfdiffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
labelme-with-segment-anything
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
xjlswd's Repositories
xjlswd/Conditional_Diffusion
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
xjlswd/autoencoder
xjlswd/azure_v2ray
Deploy V2Ray (Web Socket + TLS) using docker compose with Nginx
xjlswd/dcscn-super-resolution
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
xjlswd/denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
xjlswd/dice
Digital Image Correlation Engine (DICe): a stereo DIC application that runs on a desktop or high performance computing platform (massively parallel)
xjlswd/DnCNN-tensorflow
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
xjlswd/fork
A library that offers the fastest way to execute Android instrumentation tests.
xjlswd/hfdiffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
xjlswd/labelme-with-segment-anything
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
xjlswd/mmdetection
OpenMMLab Detection Toolbox and Benchmark
xjlswd/segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
xjlswd/tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection