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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).

mmdetection

OpenMMLab Detection Toolbox and Benchmark

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

tf-faster-rcnn

Tensorflow Faster RCNN for Object Detection