Python Medical-information Resources

Zero Attacker Zero Attacker is bunch of tools which we made for people.These all tools are for purpose of ethical hacking and discord tools. Who is th

Covid-19-BOT Samantha, A covid-19 information bot which will provide basic information about this pandemic in form of conversation. This bot uses torc

DistMIS Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation. DistriMIS Distributing Deep Learning Hyperparameter Tuning

Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection abstract:Unlike 2D object detection where all RoI featur

MedAI: Transparency in Medical Image Segmentation What is this repo This repo contains the code and experiments that are implemented to contribute in

bayesmedaug: Bayesian Optimization Library for Medical Image Segmentation. bayesmedaug optimizes your data augmentation hyperparameters for medical im

uber-pickups-analysis Data Source: https://www.kaggle.com/fivethirtyeight/uber-pickups-in-new-york-city Information about data set The dataset contain

MalAPIReader Reads and prints information from the website MalAPI.io optional arguments:

LILLIE: Information Extraction and Database Integration Using Linguistics and Learning-Based Algorithms Based on the work by Smith et al. (2021) Query

InfoSwap: Information Bottleneck Disentanglement for Identity Swapping Code usage Please check out the user manual page. Paper Gege Gao, Huaibo Huang,

How to Leverage Multimodal EHR Data for Better Medical Predictions? This repository contains the code of the paper: How to Leverage Multimodal EHR Dat

🐍 Gitter 🐍 Python CLI tool to get public information from a GitHub account 🤔 What's this? Gitter is a open-source project created to easily uses th

cmsis-pack-manager cmsis-pack-manager is a python module, Rust crate and command line utility for managing current device information that is stored i

Structural Constraints on Information Content in Human Brain States Code accompanying the paper "The information content of brain states is explained

Pytorch Classification A general, feasible and extensible framework for 2D image classification. Features Easy to configure (model, hyperparameters) T

MedMNIST Project (Website) | Dataset (Zenodo) | Paper (arXiv) | MedMNIST v1 (ISBI'21) Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bili

Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models Link to paper Abstract We study prediction of future out

END TO END MACHINE LEARNING PROJECT ON HITTERS DATASET Can a machine learning project be implemented to estimate the salaries of baseball players whos

BSE Repository to access information of stocks in Bombay Stock Exchange. The code in this repository uses BSE API and conclusions made using the code

MultiMix This repository contains the implementation of MultiMix. Our publications for this project are listed below: "MultiMix: Sparingly Supervised,

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation Official Code Repository for the paper "Unsupervised Documen

An advanced telegram movie information finder bot

The HIST framework for stock trend forecasting The implementation of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining C

Arxiv daily 速览 功能：按关键词筛选arxiv每日最新paper，自动获取摘要，自动截取文中表格和图片。 1 测试环境 Ubuntu 16+ Python3.7 torch 1.9 Colab GPU 2 使用演示 首先下载权重baiduyun 提取码:il87，放置于code/Pars

Med Phys Scripts These are scripts that I, the medical physics assistant at Cookeville Regional Medical Center, wrote for use in our radiation therapy

An Earth Observation Platform Earth Observation made easy. Report Bug | Request Feature About eoplatform is a Python package that aims to simplify Rem

CoVA: Context-aware Visual Attention for Webpage Information Extraction Abstract Webpage information extraction (WIE) is an important step to create k

Research PACS on AWS Challenge to solve Solution presentation Deploy the solution Further reading Releases License Challenge to solve The rise of new

github_project This is a project for medical image segmentation. This project includes common medical image segmentation models such as U-net, FCN, De

NSPanel Hacking Sonoff NSPanel protocol and hacking information and Tasmota Berry driver. NSPanel protocol manual Tasmota driver nspanel.be Installati

3DMV 3DMV jointly combines RGB color and geometric information to perform 3D semantic segmentation of RGB-D scans. This work is based on our ECCV'18 p

Key Information Extraction from Scanned Invoices Key information extraction from invoice document with Graph Convolution Network Related blog post fro

System-Information-Utility This is a simple utility, for the terminal, which allows you to find out information about your PC. It's very easy to run t

Blockchain-based Medical Records 📄 Abstract Blockchain has the ability to keep an incorruptible, decentralized, and transparent log of all patient da

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data Christoph Reich, Tim Prangemeier, Özdemir Cetin & Heinz Koeppl | Pr

Django-Online-Business-Database-Project this project is still in progress Overview of Website This website serves as an online database (hosted via SQ

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data Christoph Reich, Tim Prangemeier, Özdemir Cetin & Heinz Koeppl | Pr

Blue Brain Search Source Code DOI Data & Models DOI Documentation Latest Release Python Versions License Build Status Static Typing Code Style Securit

ml4ir: Machine Learning for Information Retrieval | changelog Quickstart → ml4ir Read the Docs | ml4ir pypi | python ReadMe ml4ir is an open source li

Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)

This python project contains a class FileProcessor which allows one to grab a file and get some meta data and header information from it. In the current state, it outputs a PrettyTable to txt file as well as the raw data from that table into a csv.

Understanding the network formation pattern for better link prediction Authors: [email protected] [email protected] Overview: Link prediction using M

CoraNet This is the 3D Implementation of 《Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation》 Environment pytor

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')

Copy Paste positive polyp using poisson image blending for medical image segmentation According poisson image blending I've completely used it for bio

FairGNN A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (

LESSR A PyTorch implementation of LESSR (Lossless Edge-order preserving aggregation and Shortcut graph attention for Session-based Recommendation) fro

Detecting Beneficial Feature Interactions for Recommender Systems (L0-SIGN) This is our implementation for the paper: Su, Y., Zhang, R., Erfani, S., &

An index of recommendation algorithms that are based on Graph Neural Networks.

IP Information In Linux Taskbar 📍 How Use IP Script? 🤔 Download ip.py script and save somewhere in your system. Add command applet in your taskbar a

Audio Steganography Audio Steganography is a technique used to transmit hidden information by modifying an audio signal in an imperceptible manner. Ab

MONARC Objects Sharing Platform Presentation MOSP is a platform for creating, editing and sharing validated JSON objects of any type. You can use any

WEB-INFO- This tool can be used to extract information from any website Install Termux and run the command --- $ apt-get update $ apt-get upgrade $ pk

Is it Time to Replace CNNs with Transformers for Medical Images? Accepted at ICCV-2021: Workshop on Computer Vision for Automated Medical Diagnosis (C

AITM TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequen

WebNowPlayingTwitch A Twitch bot made using TwitchIO which displays information obtained from the WebNowPlaying Compaion browser extension. Image is o

Python based Wikidata framework for easy dataframe extraction wikirepo is a Python package that provides a framework to easily source and leverage sta

ANTsPyNet A collection of deep learning architectures and applications ported to the python language and tools for basic medical image processing. Bas

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

A collection of papers about Transformer in the field of medical image analysis.

Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Requirements The code is implemented in Python and requires

Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma 🔥 News 2021-10

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021) The implementation of Reducing Infromation Bottleneck for W

Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field

Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field

PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation (NeurIPS 2021) The implementation of Reducing Infromation Bottleneck for W

dsignals Utilities and information for the signals.numer.ai tournament using eodhistoricaldata.com eodhistoricaldata.com provides excellent historical

youtube-channel-video-url-extractor This python script extracts all the video URLs from any youtube channel. Then it extracts all the information like

IPL-bot This is a Discord bot built using Python. through this you can get information about the upcoming matches, scoreboard, live score, and many mo

Hyval will store your information encrypted and decrypt it when needed

Crawl the information of a given keyword on Google search engine

NASA APOD Discord Bot - Fetches information from NASA APOD site.

Useful materials and tutorials for 110-1 NTU DBME5028 (Application of Deep Learning in Medical Imaging)

Country-Info-Bot-V2 An advanced telegram country information finder bot Made with Python3 (C) @FayasNoushad Copyright permission under MIT License Lic

A 3D multi-modal medical image segmentation library in PyTorch We strongly believe in open and reproducible deep learning research. Our goal is to imp

SurRoL IROS 2021 SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning Features dVRK compati

Small Lesion Segmentation in Brain MRIs with Subpixel Embedding PyTorch implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedd

certi Utility to play with ADCS, allows to request tickets and collect information about related objects. Basically, it's the impacket copy of Certify

DonPAPI Dumping revelant information on compromised targets without AV detection DPAPI dumping Lots of credentials are protected by DPAPI (link ) We a

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation Source code repo for paper Zero-Shot Information Extraction as a Unified Text

Correlation Explanation Methods Official implementation of linear correlation explanation (linear CorEx) and temporal correlation explanation (T-CorEx

Semi-supervised-learning-for-medical-image-segmentation. Recently, semi-supervised image segmentation has become a hot topic in medical image computin

Conditional probing: measuring usable information beyond a baseline

Retina Blood Vessels Segmentation This is an implementation of the research paper "Retina Blood Vessel Segmentation Using A U-Net Based Convolutional

Tevatron Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models. The toolkit has a modularized

A PyTorch implementation of V-Net Vnet is a PyTorch implementation of the paper V-Net: Fully Convolutional Neural Networks for Volumetric Medical Imag

Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge Correlation Explanation (CorEx) is a topic model that yields rich topics tha

Site Scanner Tools For Scanning Any Site and Get Site Information Example Require - pip install colorama - pip install requests How To Use Download Th

EfficientSegmentation Introduction EfficientSegmentation is an open source, PyTorch-based segmentation framework for 3D medical image. Features A whol

MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning [MedIA or Arxiv] and [Demo] This repository pr

👻 Ghoul is an easy to use information service, allowing you to get/add information on someone or something directly from your terminal. It c

AnnIE - Annotation Platform, tool for open information extraction annotations using text files.

Simple DDL Parser Build with ply (lex & yacc in python). A lot of samples in 'tests/. Is it Stable? Yes, library already has about 5000+ usage per day

A ready-to-use curated list of Spectral Indices for Remote Sensing applications. GitHub: https://github.com/davemlz/awesome-ee-spectral-indices Docume

Django Debug Toolbar The Django Debug Toolbar is a configurable set of panels that display various debug information about the current request/respons

NaLCoS - NAtural Language COmmit Search Search commit messages in your repository in natural language. NaLCoS (NAtural Language COmmit Search) is a co

PyPhisher [+] Created By KasRoudra [+] Description : Ultimate phishing tool in python. Includes popular websites like facebook, twitter, instagram, gi

Find information about an IP address, such as its location, ISP, hostname, region, country, and city. An IP address can be traced, tracked, and located.