Python Active-capsule-endoscopy Resources

Installation Script installation: Simply run this command out of root: . (wget -qO- http://gg.gg/get_hikka) Manual installation: apt update && apt in

Live Action Map (LAM) An attempt to use open source data on Twitter to map areas with active conflict. Right now it is used for the Ukraine-Russia con

Gamma's Strategy One This initial strategy was developed specifically for larger pools and is based on taking a moving average and deriving Bollinger

GoodHound ______ ____ __ __ / ____/___ ____ ____/ / / / /___ __ ______ ____/ / / / __/ __ \/ __ \/ __

DOME - A subdomain enumeration tool Check the Spanish Version Dome is a fast and reliable python script that makes active and/or passive scan to obtai

xborder Active window border replacement for window managers. Usage git clone https://github.com/deter0/xborder cd xborder chmod +x xborders ./xborder

PyMouseBot If you're from GT and annoyed with SGVPN idle timeouts while working on development laptop, You might find this useful. A python cli bot to

DumpSMBShare A script to dump files and folders remotely from a Windows SMB shar

TargetAllDomainObjects A python wrapper to run a command on against all users/co

FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

This repository contains the software implementation of most algorithms used or developed in my research. The LaTeX and Python code for generating the

💿 Sistema de Gerenciamento de Usuário (SGU) 📚 Sobre o projeto Sistema de gerenciamento de usuários (SGU), tem o objetivo primário de se conectar a u

GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.

pyrelational is a python active learning library developed by Relation Therapeutics for rapidly implementing active learning pipelines from data management, model development (and Bayesian approximation), to creating novel active learning strategies.

This python script allow to extract various information from a Microsoft Remote Desktop Web Access (RDWA) application, such as the FQDN of the remote server, the internal AD domain name (from the FQDN), and the remote Windows Server version

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation Experiment Setting: CIFAR10 (downloaded and saved in ./DATA

SAR_CD_MS_CapsNet Code for the paper "Change Detection in SAR Images Based on Multiscale Capsule Network" , IEEE Geoscience and Remote Sensing Letters

Momentum Capsule Network Official implementation of the paper Momentum Capsule Networks (MoCapsNet). Abstract Capsule networks are a class of neural n

Script to calculate Active Directory Kerberos keys (AES256 and AES128) for an account, using its plaintext password

BitCoin-Peer-Client Connects to an active BitCoin Peer, and locates a predetermined block number (height) by downloading block headers. Once required

Spectrum Surveying: The Python code in this repository implements the simulations and plots the figures described in the paper “Spectrum Surveying: Ac

A Python package for simulating Active Inference agents in Markov Decision Process environments. Please see our companion preprint on arxiv for an ove

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”

{ATAM} Active Transport Analytics Model Active Transport Analytics Model (“ATAM”) is a new strategic transport modelling and data visualization framew

DECA Official code for the ICCV 2021 paper "DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders". All the code is writte

Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning*, Donghuan Lu*, Dong Wei†, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Y

Code and Experiments for ACL-IJCNLP 2021 Paper Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering.

Contrastive Coding for Active Learning under Class Distribution Mismatch Official PyTorch implementation of ["Contrastive Coding for Active Learning u

Task-Aware Variational Adversarial Active Learning - Official Pytorch implementation of the CVPR 2021 paper Kwanyoung Kim, Dongwon Park, Kwang In Kim,

Sequential GCN for Active Learning Please cite if using the code: Link to paper. Requirements: python 3.6+ torch 1.0+ pip libraries: tqdm, sklearn, sc

Can Active Learning Preemptively Mitigate Fairness Issues? Code for the paper "Can Active Learning Preemptively Mitigate Fairness Issues?" presented a

State-Relabeling Adversarial Active Learning Code for SRAAL [2020 CVPR Oral] Requirements torch = 1.6.0 numpy = 1.19.1 tqdm = 4.31.1 AL Results The

Batch Active learning by Diverse Gradient Embeddings (BADGE) An implementation of the BADGE batch active learning algorithm. Details are provided in o

Reinforced Active Learning for Image Segmentation (RALIS) Code for the paper Reinforced Active Learning for Image Segmentation Dependencies python 3.6

Awesome Active Learning 🤩 A curated list of awesome Active Learning ! 🤩 Background (image source: Settles, Burr) What is Active Learning? Active lea

faceFarm – The simple Email Detector. Email Valid Detector for Facebook (Yahoo) faceFarm is an active yahoo email detection script that functions to t

Multi-Objective Reinforced Active Learning Dependencies wandb tqdm pytorch = 1.7.0 numpy = 1.20.0 scipy = 1.1.0 pycolab == 1.2 Weights and Biases O

CapsNet-Tensorflow A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules Notes: The current version

CapsuleVOS This is the code for the ICCV 2019 paper CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. Arxiv Link: https://a

Synology Active Backup for Business API-NPP Informació Per executar el programa

Scans pdfs for links written in plaintext and checks if they are active or returns an error code. It then generates a report of its findings. Extract references (pdf, url, doi, arxiv) and metadata from a PDF.

PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

Adaptation through prediction: multisensory active inference torque control Submitted to IEEE Transactions on Cognitive and Developmental Systems Abst

MaskAL - Active learning for Mask R-CNN in Detectron2 Summary MaskAL is an active learning framework that automatically selects the most-informative i

Pachine Python implementation for CVE-2021-42278 (Active Directory Privilege Escalation). Installtion $ pip3 install impacket Usage Impacket v0.9.23 -

Camera Condition Monitoring and Readjustment by means of Noise and Blur This repository contains the source code of the paper: Wischow, M., Gallego, G

Exploiting CVE-2021-42278 and CVE-2021-42287 to impersonate DA from standard domain user Known issues it will not work outside kali , i will update it

capsule_endoscopy_detection (DACON Challenge) Overview Yolov5, Yolor, mmdetection기반의 모델을 사용 (총 11개 모델 앙상블) 모든 모델은 학습 시 Pretrained Weight을 yolov5, yolo

An implementation of the methods presented in Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data.

Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.

Active Offline Policy Selection This is supporting example code for NeurIPS 2021 paper Active Offline Policy Selection by Ksenia Konyushkova*, Yutian

adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu

DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

DeepAL: Deep Active Learning in Python Python implementations of the following active learning algorithms: Random Sampling Least Confidence [1] Margin

PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read

TorScrape TorScrape is a small but useful script made in python that scrapes a website for active tor nodes, parse the html and then save the nodes in

This tool is designed to help administrators get an overview of their Active Directory structure. In the group view you can see all elements of an AD (OU, USER, GROUPS, COMPUTERS etc.). In the user view one sees all users according to their Manager/Manager of Hierarchy.

VectorCapsule Re-implementation of the vector capsule with dynamic routing We implement the vector capsule and dynamic routing via graph neural networ

PeepingJack A simply program to find active jackbox.tv game codes How does this work? It uses a threadpool to loop through all possible codes in a ran

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.

VR-Caps: A Virtual Environment for Capsule Endoscopy Overview We introduce a virtual active capsule endoscopy environment developed in Unity that prov

AALpy An Active Automata Learning Library AALpy is a light-weight active automata learning library written in pure Python. You can start learning auto

AstronomicAL An interactive dashboard for visualisation, integration and classification of data using Active Learning. AstronomicAL is a human-in-the-

BloodyAD Framework BloodyAD is an Active Directory Privilege Escalation Framework, it can be used manually using bloodyAD.py or automatically by combi

Suture detection PyTorch This repo contains the reference implementation of suture detection model in PyTorch for the paper Point detection through mu

Temporal Output Discrepancy for Active Learning PyTorch implementation of Semi-Supervised Active Learning with Temporal Output Discrepancy, ICCV 2021.

Multi-Anchor Active Domain Adaptation for Semantic Segmentation Munan Ning*, Donghuan Lu*, Dong Wei†, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Y

Conditional Variational Capsule Network for Open Set Recognition This repository hosts the official code related to "Conditional Variational Capsule N

Snap to Ground Simple addon for snapping active object to mesh ground How to install: install the Python file as an addon use shortcut "D" in 3D view

causal-bald | Abstract | Installation | Example | Citation | Reproducing Results DUE An implementation of the methods presented in Causal-BALD: Deep B

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

ActiveLearningDemo How to run step one put the dataset folder and use command below to split the dataset to the required structure run utils.py For ea

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN) This is the implementation of the paper Multi-Age

Active-LATHE: An Active Learning Algorithm for Boosting the Error exponent for Learning Homogeneous Ising Trees This project contains the codes of pap

RIM: Reliable Influence-based Active Learning on Graphs. This repository is the official implementation of RIM. Requirements To install requirements:

This repo is to maintain the list of active repositories for all cryptocurrencies that https://codemask.org uses. The active list will be automaticall

PlatformIO Check Compiler Flags Example Description Demonstrates the usage of an extra script and a special compilter invocation to get the active mac

A Simple Baseline for Low-Budget Active Learning This repository is the implementation of A Simple Baseline for Low-Budget Active Learning. In this pa

Active Learning for Deep Object Detection via Probabilistic Modeling This repository is the official PyTorch implementation of Active Learning for Dee

Model Change Active Learning Paper (To Appear) Python code for doing active learning in graph-based semi-supervised learning (GBSSL) paradigm. Impleme

Certipy is a Python tool to enumerate and abuse misconfigurations in Active Directory Certificate Services (AD CS). Based on the C# variant Ce

LDAP Monitor Monitor creation, deletion and changes to LDAP objects live during your pentest or system administration! With this tool you can quickly

S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation ICCV 2021 Harsh Rangwani, Arihant Jain*, Sumukh K Aithal*, R. Ve

Active Learning for Deep Object Detection via Probabilistic Modeling This repository is the official PyTorch implementation of Active Learning for Dee

next_best_view_rl Setup Clone the repository: git clone --recurse-submodules ... In 'third_party/zed-ros-wrapper': git checkout devel Install mujoco `

Display ip2.network active live streams.

Certipy Certipy is a Python tool to enumerate and abuse misconfigurations in Active Directory Certificate Services (AD CS). Based on the C# variant Ce

Easy and secure implementation of Azure AD for your FastAPI APIs 🔒 Single- and multi-tenant support.

GPU-accelerated PyTorch implementation of Zero-shot User Intent Detection via Capsule Neural Networks This repository implements a capsule model Inten

✨A Python framework to explore, label, and monitor data for NLP projects

Look Who's Talking: Active Speaker Detection in the Wild Dependencies pip install -r requirements.txt In addition to the Python dependencies, ffmpeg

蓝鲸用户管理 简体中文 | English 蓝鲸用户管理是蓝鲸智云提供的企业组织架构和用户管理解决方案，为企业统一登录提供认证源服务。 总览 架构设计 代码目录 功能 支持多层级的组织架构管理 支持通过多种方式同步数据：OpenLDAP、Microsoft Active Directory(MAD)

AD penetration Testing Project By Ruben Enkaoua - GL4Di4T0R Based on the TCM PEH course (Heath Adams) Index 1 - Setting Up the Lab Intallation of a Wi

Active Testing: Sample-Efficient Model Evaluation Hi, good to see you here! 👋 This is code for "Active Testing: Sample-Efficient Model Evaluation". P

pytorch-capsule A Pytorch implementation of Hinton's "Dynamic Routing Between Capsules". https://arxiv.org/pdf/1710.09829.pdf Thanks to @naturomics fo

pydsinternals - Directory Services Internals Library A Python native library containing necessary classes, functions and structures to interact with W

Active Learning allows you to efficiently label training data in a small-data scenario.

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee

CapsGNN ⠀⠀ A PyTorch implementation of Capsule Graph Neural Network (ICLR 2019). Abstract The high-quality node embeddings learned from the Graph Neur