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https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git
Image-to-Image Translation in PyTorch
A pytorch implementation of Deep Graph Laplacian Regularization for image denoising
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Fast and differentiable MS-SSIM and SSIM for pytorch.
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Quick Draw Irregular Mask Dataset
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)
QuPath - Bioimage analysis & digital pathology
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
实用、美观的 Real-ESRGAN 图形界面,同时支持 Windows、Ubuntu 和 macOS 平台。(Cross-platform GUI for image upscaler Real-ESRGAN with additional features.)
Code for the Recognize Anything Model (RAM) and Tag2Text Model
A deep-learning framework for characterizing and visualizing tissue architecture from spatially resolved transcriptomics
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Reproduce of the CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"
Fine Tuning Restormer
🤖 Sam-assistant is a personal assistant that is designed to understand your documents, search the internet, and in future versions, create and understand images, and communicate with you. It is built in Python, mainly using Langchain and implements most of Langchain
SAM on medical images based on https://github.com/facebookresearch/segment-anything
This repository provides scripts for generating segmentation masks using the Segment Anything Model (SAM) from Facebook, and includes tools for identifying subdirectories in the data folder that still require annotation.
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
Sub-cellular spatial transcriptomics Cell Segmentation
Segment Anything for Stable Diffusion WebUI
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Earth observation tools for Meta AI Segment Anything
Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
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.