2665 Repositories
Python fundus-image-analysis Libraries
Panel Competition Image Generator
Panel Competition Image Generator This project was build by a member of the NFH community and is open for everyone who wants to try it. Relevant links
TensorFlow 2 implementation of the Yahoo Open-NSFW model
TensorFlow 2 implementation of the Yahoo Open-NSFW model
A terminal utility to sort image files based on their characteristics.
About A terminal utility to sort image files based on their characteristics. Motivation This program was developed after I've realized that I had too
Underwater image enhancement
LANet Our work proposes an adaptive learning attention network (LANet) to solve the problem of color casts and low illumination in underwater images.
A person does not exist image bot
A person does not exist image bot
A not exist person image generator python module
A not exist person image generator python module
Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity
Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity, such as gratings, photonic-crystal slabs, metasurfaces, surface-emitting lasers, nano-antennas, and more.
Obsei is a low code AI powered automation tool.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
4CAT: Capture and Analysis Toolkit
4CAT: Capture and Analysis Toolkit 4CAT is a research tool that can be used to analyse and process data from online social platforms. Its goal is to m
Robocop is a tool that performs static code analysis of Robot Framework code.
Robocop Introduction Documentation Values Requirements Installation Usage Example Robotidy FAQ Watch our talk from RoboCon 2021 about Robocop and Robo
Simple tools for the Horse Reality webgame
Realtools (Web Tools for Horse Reality) These tools were made on request from a close friend of mine who plays this game. A live instance can be found
Introduction to image processing, most used and popular functions of OpenCV
👀 OpenCV 101 Introduction to image processing, most used and popular functions of OpenCV go here.
A collection of differentiable SVD methods and also the official implementation of the ICCV21 paper "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
English | 简体中文 PaddleGAN PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and s
The official PyTorch code implementation of "Human Trajectory Prediction via Counterfactual Analysis" in ICCV 2021.
Human Trajectory Prediction via Counterfactual Analysis (CausalHTP) The official PyTorch code implementation of "Human Trajectory Prediction via Count
Code and models for "Rethinking Deep Image Prior for Denoising" (ICCV 2021)
DIP-denosing This is a code repo for Rethinking Deep Image Prior for Denoising (ICCV 2021). Addressing the relationship between Deep image prior and e
Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation Steps Install any missing packages using pip or conda Preprocess each dataset using
Code for the ICCV2021 paper "Personalized Image Semantic Segmentation"
PSS: Personalized Image Semantic Segmentation Paper PSS: Personalized Image Semantic Segmentation Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming
Parametric Contrastive Learning (ICCV2021)
Parametric-Contrastive-Learning This repository contains the implementation code for ICCV2021 paper: Parametric Contrastive Learning (https://arxiv.or
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition How Fast Compare to Other Zero-Shot NAS Proxies on CIFAR-10/100 Pre-trained Model
MicroNet: Improving Image Recognition with Extremely Low FLOPs (ICCV 2021)
MicroNet: Improving Image Recognition with Extremely Low FLOPs (ICCV 2021) A pytorch implementation of MicroNet. If you use this code in your research
Sample data for the napari image viewer.
napari-demo-data Sample data for the napari image viewer. This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugi
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Styled text-to-drawing synthesis method. Featured at the 2021 NeurIPS Workshop on Machine Learning for Creativity and Design
Barbershop: GAN-based Image Compositing using Segmentation Masks (SIGGRAPH Asia 2021)
Barbershop: GAN-based Image Compositing using Segmentation Masks Barbershop: GAN-based Image Compositing using Segmentation Masks Peihao Zhu, Rameen A
Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021
LPTN Paper | Supplementary Material | Poster High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network Ji
Image marine sea litter prediction Shiny
MARLITE Shiny app for floating marine litter detection in aerial images. This directory contains the instructions and software needed to install the S
Taming Transformers for High-Resolution Image Synthesis
Taming Transformers for High-Resolution Image Synthesis CVPR 2021 (Oral) Taming Transformers for High-Resolution Image Synthesis Patrick Esser*, Robin
Image Processing - Make noise images clean
影像處理-影像降躁化(去躁化) (Image Processing - Make Noise Images Clean) 得力於電腦效能的大幅提升以及GPU的平行運算架構,讓我們能夠更快速且有效地訓練AI,並將AI技術應用於不同領域。本篇將帶給大家的是 「將深度學習應用於影像處理中的影像降躁化 」,
Demo of using Auto Encoder for Image Denoising
Demo of using Auto Encoder for Image Denoising
A small Python Library to process Game Boy Camera images
GameBEye GameBEye is a Python Library to process Game Boy Camera images. Source code 📁 : https://github.com/mtouzot/GameBEye Issues 🆘 : https://gith
Python App To Encrypt Data (image, text, all data)
Python App To Encrypt Data (image, text, all data)
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis, including human motion imitation, appearance transfer, and novel view synthesis. Currently the paper is under review of IEEE TPAMI. It is an extension of our previous ICCV project impersonator, and it has a more powerful ability in generalization and produces higher-resolution results (512 x 512, 1024 x 1024) than the previous ICCV version.
An image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testingAn image base contains 490 images for learning (400 cars and 90 boats), and another 21 images for testing
SVM Données Une base d’images contient 490 images pour l’apprentissage (400 voitures et 90 bateaux), et encore 21 images pour fait des tests. Prétrait
psgresizer - a PySimpleGUI application that will resize your images and BASE64 encode them.
psgresizer A PySimpleGUI Application Resize your images quickly and easily with this GUI application. Resizes and encodes to Base64 so that the result
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data based on Pytorch Framework
VFedPCA+VFedAKPCA This is the official source code for the Paper: Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-
:P Some basic stuff I'm gonna use for my upcoming Agile Software Development and Devops
reverse-image-search-py bash script.sh img_name.jpg Requirements pip install requests pip install pyshorteners Dry run [kunal@Gordonfreeman]$ bash sc
A flexible ML framework built to simplify medical image reconstruction and analysis experimentation.
meddlr Getting Started Meddlr is a config-driven ML framework built to simplify medical image reconstruction and analysis problems. Installation To av
Exploratory analysis and data visualization of aircraft accidents and incidents in Brazil.
Exploring aircraft accidents in Brazil Occurrencies with aircraft in Brazil are investigated by the Center for Investigation and Prevention of Aircraf
Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions.
About Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary g
cLoops2: full stack analysis tool for chromatin interactions
cLoops2: full stack analysis tool for chromatin interactions Introduction cLoops2 is an extension of our previous work, cLoops. From loop-calling base
Tool for automatically reordering python imports. Similar to isort but uses static analysis more.
reorder_python_imports Tool for automatically reordering python imports. Similar to isort but uses static analysis more. Installation pip install reor
Multifunctional Analysis of Regions through Input-Output
MARIO Multifunctional Analysis of Regions through Input-Output. (Documents) What is it MARIO is a python package for handling input-output tables and
Automated image registration. Registrationimation was too much of a mouthful.
alignimation Automated image registration. Registrationimation was too much of a mouthful. This repo contains the code used for my blog post Alignimat
LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae
Package Description The difficulties in acquiring spectroscopic data have been a major challenge for supernova surveys. snlstm is developed to provide
A real data analysis and modeling project - restaurant inspections
A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re
Python implementation of Principal Component Analysis
Principal Component Analysis Principal Component Analysis (PCA) is a dimension-reduction algorithm. The idea is to use the singular value decompositio
Exploratory data analysis
Exploratory data analysis An Exploratory data analysis APP TAPIWA CHAMBOKO 🚀 About Me I'm a full stack developer experienced in deploying artificial
Simple Python image processing & automatization project for a simple web based game
What is this? Simple Python image processing & automatization project for a simple web based game Made using only Github Copilot (except the color and
An advanced 2D image manipulation with features such as edge detection and image segmentation built using OpenCV
OpenCV-ToothPaint3-Advanced-Digital-Image-Editor This application named ‘Tooth Paint’ version TP_2020.3 (64-bit) or version 3 was developed within a w
edaSQL is a library to link SQL to Exploratory Data Analysis and further more in the Data Engineering.
edaSQL is a python library to bridge the SQL with Exploratory Data Analysis where you can connect to the Database and insert the queries. The query results can be passed to the EDA tool which can give greater insights to the user.
DICexport is a GUI (PyQt5) to export digital image correlation videos
DIC Video Exporter DICexport is a GUI (PyQt5) to export digital image correlation videos. It offers the flexibility to choose a selected range of a vi
Stock Analysis dashboard Using Streamlit and Python
StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th
clesperanto is a graphical user interface for GPU-accelerated image processing.
clesperanto is a graphical user interface for a multi-platform multi-language framework for GPU-accelerated image processing. It is based on napari and the pyclesperanto-prototype.
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region. This repository provides the codebase and dataset for our work WORD: Revisiting Or
3rd Place Solution for ICCV 2021 Workshop SSLAD Track 3A - Continual Learning Classification Challenge
Online Continual Learning via Multiple Deep Metric Learning and Uncertainty-guided Episodic Memory Replay 3rd Place Solution for ICCV 2021 Workshop SS
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
TimeMatch Official source code of TimeMatch: Unsupervised Cross-region Adaptation by Temporal Shift Estimation by Joachim Nyborg, Charlotte Pelletier,
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval - ICCV2021
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval Pytorch implementation of SPQ Accepted to ICCV 2021 - paper Young Kyun Jang
This application explain how we can easily integrate Deepface framework with Python Django application
deepface_suite This application explain how we can easily integrate Deepface framework with Python Django application install redis cache install requ
Perform sentiment analysis and keyword extraction on Craigslist listings
craiglist-helper synopsis Perform sentiment analysis and keyword extraction on Craigslist listings Background I love Craigslist. I've found most of my
Image Restoration Using Swin Transformer for VapourSynth
SwinIR SwinIR function for VapourSynth, based on https://github.com/JingyunLiang/SwinIR. Dependencies NumPy PyTorch, preferably with CUDA. Note that t
image-processing exercises.
image_processing Assignment 21 Checkered Board Create a chess table using numpy and opencv. view: Color Correction Reverse black and white colors with
Python-based tools for document analysis and OCR
ocropy OCRopus is a collection of document analysis programs, not a turn-key OCR system. In order to apply it to your documents, you may need to do so
This tool parses log data and allows to define analysis pipelines for anomaly detection.
logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis wit
A collection of tools for biomedical research assay analysis in Python.
waltlabtools A collection of tools for biomedical research assay analysis in Python. Key Features Analysis for assays such as digital ELISA, including
QR fixer part is standalone but for image to FQR conversion
f-qr-fixer QR fixer part is standalone but for image to FQR conversion it requires Pillow (can be installed with easy_install), qrtools (on ubuntu the
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Image captioning service for healthcare domains in Vietnamese using VLP
Image captioning service for healthcare domains in Vietnamese using VLP This service is a web service that provides image captioning services for heal
Deep-learning X-Ray Micro-CT image enhancement, pore-network modelling and continuum modelling
EDSR modelling A Github repository for deep-learning image enhancement, pore-network and continuum modelling from X-Ray Micro-CT images. The repositor
For the paper entitled ''A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining''
Summary This is the source code for the paper "A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining", which was accepted as fu
Caboto, the Kubernetes semantic analysis tool
Caboto Caboto, the Kubernetes semantic analysis toolkit. It contains a lightweight Python library for semantic analysis of plain Kubernetes manifests
paper: Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network
DC-CapsNet This is a tensorflow and keras based implementation of DC-CapsNet for HSI in the Remote Sensing Letters R. Lei et al., "Hyperspectral Remot
Unofficial pytorch implementation of the paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution"
DFSA Unofficial pytorch implementation of the ICCV 2021 paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution" (p
A multithreaded tool for searching and downloading images from popular search engines. It is straightforward to set up and run!
🕳️ CygnusX1 Code by Trong-Dat Ngo. Overviews 🕳️ CygnusX1 is a multithreaded tool 🛠️ , used to search and download images from popular search engine
Automatic deep learning for image classification.
AutoDL AutoDL automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few line
This repository has datasets containing information of Uber pickups in NYC from April 2014 to September 2014 and January to June 2015. data Analysis , virtualization and some insights are gathered here
uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain
I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform some analysis,,
Virtual-Artificial-Intelligence-genesis- I created My own Virtual Artificial Intelligence named genesis, He can assist with my Tasks and also perform
Generate a preview image for a PDF.
PDF ➡️ Preview A simple tool to save me time on Illustrator. Generates a preview image for a PDF file. Useful for sneak peeks to academic publications
image stream publish server over websocket
Image Stream Push Server 简介 通过浏览器网页实时查看图像处理结果。 环境 运行程序需要安装一下python依赖: tornado: 用于创建http及websocket服务; opencv-contrib-python: 用于图像数据源获取及图像处理。 使用 进入到src目
A python module for scientific analysis of 3D objects based on VTK and Numpy
A lightweight and powerful python module for scientific analysis and visualization of 3d objects.
LSB Image Steganography Using Python
Steganography is the science that involves communicating secret data in an appropriate multimedia carrier, e.g., image, audio, and video files
STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 and 2017. The selection of datasets include text from image captions, news headlines and user forums.
stsb_multi_mt_en STS Benchmark comprises a selection of the English datasets used in the STS tasks organized in the context of SemEval between 2012 an
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
DistMIS Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. DistriMIS Distributing Deep Learning Hyperparameter Tuning
FinEAS: Financial Embedding Analysis of Sentiment 📈
FinEAS: Financial Embedding Analysis of Sentiment 📈 (SentenceBERT for Financial News Sentiment Regression) This repository contains the code for gene
IGCN : Image-to-graph convolutional network
IGCN : Image-to-graph convolutional network IGCN is a learning framework for 2D/3D deformable model registration and alignment, and shape reconstructi
This repository contains the source code of an efficient 1D probabilistic model for music time analysis proposed in ICASSP2022 venue.
Jump Reward Inference for 1D Music Rhythmic State Spaces An implementation of the probablistic jump reward inference model for music rhythmic informat
A treasure chest for visual recognition powered by PaddlePaddle
简体中文 | English PaddleClas 简介 飞桨图像识别套件PaddleClas是飞桨为工业界和学术界所准备的一个图像识别任务的工具集,助力使用者训练出更好的视觉模型和应用落地。 近期更新 2021.11.1 发布PP-ShiTu技术报告,新增饮料识别demo 2021.10.23 发
The codebase for our paper "Generative Occupancy Fields for 3D Surface-Aware Image Synthesis" (NeurIPS 2021)
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis (NeurIPS 2021) Project Page | Paper Xudong Xu, Xingang Pan, Dahua Lin and Bo Dai GOF
Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.
Git repositoty of the manuscript entitled Statistical quantification of confounding bias in predictive modelling by Tamas Spisak The manuscript descri
Survival analysis (SA) is a well-known statistical technique for the study of temporal events.
DAGSurv Survival analysis (SA) is a well-known statistical technique for the study of temporal events. In SA, time-to-an-event data is modeled using a
StyleGAN of All Trades: Image Manipulation withOnly Pretrained StyleGAN
StyleGAN of All Trades: Image Manipulation withOnly Pretrained StyleGAN This is the PyTorch implementation of StyleGAN of All Trades: Image Manipulati
K-FACE Analysis Project on Pytorch
Installation Setup with Conda # create a new environment conda create --name insightKface python=3.7 # or over conda activate insightKface #install t
[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation
K-Net: Towards Unified Image Segmentation Introduction This is an official release of the paper K-Net:Towards Unified Image Segmentation. K-Net will a
Bayesian Optimization Library for Medical Image Segmentation.
bayesmedaug: Bayesian Optimization Library for Medical Image Segmentation. bayesmedaug optimizes your data augmentation hyperparameters for medical im
Matplotlib Image labeller for classifying images
mpl-image-labeller Use Matplotlib to label images for classification. Works anywhere Matplotlib does - from the notebook to a standalone gui! For more
Backman is a random/fixed background image setter for wlroots based compositors
backman Backman is a random/fixed background image setter for wlroots based compositors Dependencies: The program depends on swaybg, python3-toml (or
This is an auto-ML tool specialized in detecting of outliers
Auto-ML tool specialized in detecting of outliers Description This tool will allows you, with a Dash visualization, to compare 10 models of machine le
PRNT.sc Image Grabber
PRNTSender PRNT.sc Image Grabber PRNTSender is a script that takes images posted on PRNT.sc and sends them to a Discord webhook, if you want to know h
Malware Analysis Neural Network project.
MalanaNeuralNetwork Description Malware Analysis Neural Network project. Table of Contents Getting Started Requirements Installation Clone Set-Up VENV
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.