97 Repositories
Python risk-assessment Libraries
Pre-crisis Risk Management for Personal Finance
Антикризисный риск-менеджмент личных финансов Риск-менеджмент личных финансов условиях санкций и/или финансового кризиса: делаем сегодня все, чтобы за
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md
[CVPRW 2022] Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network
Attention Helps CNN See Better: Hybrid Image Quality Assessment Network [CVPRW 2022] Code for Hybrid Image Quality Assessment Network [paper] [code] T
Internship Assessment Task for BaggageAI.
BaggageAI Internship Task Problem Statement: You are given two sets of images:- background and threat objects. Background images are the background x-
In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm was used to undersampling, SMOTEENN algorithm was applied as a combinatorial approach of over- and undersampling of credit card credit dataset from LendingClub. Machine learning models - BalancedRandomForestClassifier and EasyEnsembleClassifier were used to predict credit risk.
Overview of Credit Card Analysis In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm
The code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Long-term Action Assessment".
Likert Scoring with Grade Decoupling for Long-term Action Assessment This is the code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Lon
Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals"
The Temporal Robustness of Stochastic Signals Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals" Case stud
Script to autocompound 3commas BO:SO based on user provided risk factor
3commas_compounder Script to autocompound 3commas BO:SO based on user provided risk factor Setup Step 1 git clone this repo into your working director
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs
LERP : Label-dependent and event-guided interpretable disease risk prediction using EHRs This is the code for the LERP. Dataset The dataset used is MI
Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model
Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model
This is an open solution to the Home Credit Default Risk challenge 🏡
Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection
Mortality risk prediction for COVID-19 patients using XGBoost models
Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
This repository contains the implementation for the paper: No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consiste
[ACM MM 2021] TSA-Net: Tube Self-Attention Network for Action Quality Assessment
Tube Self-Attention Network (TSA-Net) This repository contains the PyTorch implementation for paper TSA-Net: Tube Self-Attention Network for Action Qu
Credit EDA Case Study Using Python
This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc
Code accompanying the paper on "An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers" published at NeurIPS, 2021
Code for "An Empirical Investigation of Domian Generalization with Empirical Risk Minimizers" (NeurIPS 2021) Motivation and Introduction Domain Genera
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
PyPortfolioOpt has recently been published in the Journal of Open Source Software 🎉 PyPortfolioOpt is a library that implements portfolio optimizatio
This repository contains the code for designing risk bounded motion plans for car-like robot using Carla Simulator.
Nonlinear Risk Bounded Robot Motion Planning This code simulates the bicycle dynamics of car by steering it on the road by avoiding another static car
Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors.
RiskyPortfolioGenerator Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors. Working in a group, we crea
ConferencingSpeech2022; Non-intrusive Objective Speech Quality Assessment (NISQA) Challenge
ConferencingSpeech 2022 challenge This repository contains the datasets list and scripts required for the ConferencingSpeech 2022 challenge. For more
This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance.
minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var
To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.
To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment
FaceQgen FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment This repository is based on the paper: "FaceQgen: Semi-Supervised D
BRNet - code for Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss function
BRNet code for "Automated assessment of BI-RADS categories for ultrasound images using multi-scale neural networks with an order-constrained loss func
Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation
OoD_Gen-Chest_Xray Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation Requirements (Installations) Install the following libra
Pytorch implementation of the AAAI 2022 paper "Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification"
[AAAI22] Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification We point out the overlooked unbiasedness in long-tailed clas
The Multi-Tool Web Vulnerability Scanner.
🟥 RapidScan v1.2 - The Multi-Tool Web Vulnerability Scanner RapidScan has been ported to Python3 i.e. v1.2. The Python2.7 codebase is available on v1
OpenQuake's Engine for Seismic Hazard and Risk Analysis
OpenQuake Engine The OpenQuake Engine is an open source application that allows users to compute seismic hazard and seismic risk of earthquakes on a g
Pytorch implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"
MOSNet pytorch implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion" https://arxiv.org/abs/1904.08352 Dependency L
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.
Lens by Credo AI - Responsible AI Assessment Framework Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data a
No-reference Image Quality Assessment(NIQA) Algorithms (BRISQUE, NIQE, PIQE, RankIQA, MetaIQA)
No-Reference Image Quality Assessment Algorithms No-reference Image Quality Assessment(NIQA) is a task of evaluating an image without a reference imag
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation.
Understanding Minimum Bayes Risk Decoding This repo provides code and documentation for the following paper: Müller and Sennrich (2021): Understanding
AI Based Smart Exam Proctoring Package
AI Based Smart Exam Proctoring Package It takes image (base64) as input: Provide Output as: Detection of Mobile phone. Detection of More than 1 person
Pytorch implementation NORESQA A Framework for Speech Quality Assessment using Non-Matching References.
NORESQA: Speech Quality Assessment using Non-Matching References This is a Pytorch implementation for using NORESQA. It contains minimal code to predi
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability
This is the official repository of the paper: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability A private copy of the
ZEBRA: Zero Evidence Biometric Recognition Assessment
ZEBRA: Zero Evidence Biometric Recognition Assessment license: LGPLv3 - please reference our paper version: 2020-06-11 author: Andreas Nautsch (EURECO
[AAAI 2022] Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation
A paper Introduction This is an official release of the paper Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation wit
This github repo is for Neurips 2021 paper, NORESQA A Framework for Speech Quality Assessment using Non-Matching References.
NORESQA: Speech Quality Assessment using Non-Matching References This is a Pytorch implementation for using NORESQA. It contains minimal code to predi
This is the old code for bitcoin risk metric, the whole purpose form it is to help you DCA your investment according to bitcoin risk.
About The Project This is the old code for bitcoin risk metric, the whole purpose form it is to help you DCA your investment according to bitcoin risk
Agile Threat Modeling Toolkit
Threagile is an open-source toolkit for agile threat modeling:
Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)
BayesOpt-LV Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV) About This repository contains the s
Code for "Optimizing risk-based breast cancer screening policies with reinforcement learning"
Tempo: Optimizing risk-based breast cancer screening policies with reinforcement learning Introduction This repository was used to develop Tempo, as d
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass
Auto-Encoding Score Distribution Regression for Action Quality Assessment
DAE-AQA It is an open source program reference to paper Auto-Encoding Score Distribution Regression for Action Quality Assessment. 1.Introduction DAE
Epidemiology analysis package
zEpid zEpid is an epidemiology analysis package, providing easy to use tools for epidemiologists coding in Python 3.5+. The purpose of this library is
Python beta calculator that retrieves stock and market data and provides linear regressions.
Stock and Index Beta Calculator Python script that calculates the beta (β) of a stock against the chosen index. The script retrieves the data and resa
MRQy is a quality assurance and checking tool for quantitative assessment of magnetic resonance imaging (MRI) data.
Front-end View Backend View Table of Contents Description Prerequisites Running Basic Information Measurements User Interface Feedback and usage Descr
Image and video quality assessment
CenseoQoE: 视觉感知画质评价框架 项目介绍 图像/视频在编解码、传输和显示等过程中难免引入不同类型/程度的失真导致图像质量下降。图像/视频质量评价(IVQA)的研究目标是希望模仿人类视觉感知系统, 通过算法评估图片/视频在终端用户的眼中画质主观体验的好坏,目前在视频编解码、画质增强、画质监。
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning
Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"
Officile code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning"
CvarAdversarialRL Official code repository for "A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning". Initial setup Create a virtual
Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks
ML Privacy Meter Machine learning is playing a central role in automated decision making in a wide range of organization and service providers. The da
Blind visual quality assessment on 360° Video based on progressive learning
Blind visual quality assessment on omnidirectional or 360 video (ProVQA) Blind VQA for 360° Video via Progressively Learning from Pixels, Frames and V
Lightweight Face Image Quality Assessment
LightQNet This is a demo code of training and testing [LightQNet] using Tensorflow. Uncertainty Losses: IDQ loss PCNet loss Uncertainty Networks: Mobi
A user-friendly research and development tool built to standardize RL competency assessment for custom agents and environments.
Built with ❤️ by Sam Showalter Contents Overview Installation Dependencies Usage Scripts Standard Execution Environment Development Environment Benchm
Official implementation for "Image Quality Assessment using Contrastive Learning"
Image Quality Assessment using Contrastive Learning Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli and Alan C. Bovik This is the offi
vartests is a Python library to perform some statistic tests to evaluate Value at Risk (VaR) Models
vartests is a Python library to perform some statistic tests to evaluate Value at Risk (VaR) Models, such as: T-test: verify if mean of distribution i
Gray Zone Assessment
Gray Zone Assessment Get started Clone github repository git clone https://github.com/andreanne-lemay/gray_zone_assessment.git Build docker image dock
Oh365UserFinder is used for identifying valid o365 accounts without the risk of account lockouts.
Oh365 User Finder Oh365UserFinder is used for identifying valid o365 accounts without the risk of account lockouts. The tool parses responses to ident
cve-search - a tool to perform local searches for known vulnerabilities
cve-search cve-search is a tool to import CVE (Common Vulnerabilities and Exposures) and CPE (Common Platform Enumeration) into a MongoDB to facilitat
Automate UCheck COVID-19 self-assessment form submission
ucheck Automate UCheck COVID-19 self-assessment form submission. Disclaimer ucheck automatically completes the University of Tornto's UCheck COVID-19
An automated Risk Management Monitor Bot for ByBit cryptocurrencies exchange.
An automated Risk Management Monitor Bot for ByBit cryptocurrencies exchange that forces all open positions to adhere to a specific risk ratio, defined per asset. It supports USDT Perpetual, Inverse Perpetual and Inverse Futures all on Mainnet and Testnet.
Remote control your Greenbone Vulnerability Manager (GVM)
Greenbone Vulnerability Management Tools The Greenbone Vulnerability Management Tools gvm-tools are a collection of tools that help with remote contro
Collision risk estimation using stochastic motion models
collision_risk_estimation Collision risk estimation using stochastic motion models. This is a new approach, based on stochastic models, to predict the
MAUS: A Dataset for Mental Workload Assessment Using Wearable Sensor - Baseline system
MAUS: A Dataset for Mental Workload Assessment Using Wearable Sensor - Baseline system Getting started To start working on this assignment, you should
Agent-based model simulator for air quality and pandemic risk assessment in architectural spaces
Agent-based model simulation for air quality and pandemic risk assessment in architectural spaces. User Guide archABM is a fast and open source agent-
[ICCV'21] Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment
CKDN The official implementation of the ICCV2021 paper "Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment" O
The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
Kernelized-HRM Jiashuo Liu, Zheyuan Hu The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization"[1]. This repo contains the cod
A lightweight Python-based 3D network multi-agent simulator. Uses a cell-based congestion model. Calculates risk, loudness and battery capacities of the agents. Suitable for 3D network optimization tasks.
AMAZ3DSim AMAZ3DSim is a lightweight python-based 3D network multi-agent simulator. It uses a cell-based congestion model. It calculates risk, battery
Moiré Attack (MA): A New Potential Risk of Screen Photos [NeurIPS 2021]
Moiré Attack (MA): A New Potential Risk of Screen Photos [NeurIPS 2021] This repository is the official implementation of Moiré Attack (MA): A New Pot
Edge Restoration Quality Assessment
ERQA - Edge Restoration Quality Assessment ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR
Investment and risk technologies maintained by Fortitudo Technologies.
Fortitudo Technologies Open Source This package allows you to freely explore open-source implementations of some of our fundamental technologies under
Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees"
Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees" Installa
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"
DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit
Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment"
DSN-IQA Source code for paper "Deep Superpixel-based Network for Blind Image Quality Assessment" Requirements Python =3.8.0 Pytorch =1.7.1 Usage wit
Implementation of temporal pooling methods studied in [ICIP'20] A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment
Implementation of temporal pooling methods studied in [ICIP'20] A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment
StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis
StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110
Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"
StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110
This application demonstrates IoTVAS device discovery and security assessment API integration with the Rapid7 InsightVM.
Introduction This repository hosts a sample application that demonstrates integrating Firmalyzer's IoTVAS API with the Rapid7 InsightVM platform. This
ERQA - Edge Restoration Quality Assessment
ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR, deblurring, denoising, etc) are restoring real details.
[ICCV 2021] Group-aware Contrastive Regression for Action Quality Assessment
CoRe Created by Xumin Yu*, Yongming Rao*, Wenliang Zhao, Jiwen Lu, Jie Zhou This is the PyTorch implementation for ICCV paper Group-aware Contrastive
NHS AI Lab Skunkworks project: Long Stayer Risk Stratification
NHS AI Lab Skunkworks project: Long Stayer Risk Stratification A pilot project for the NHS AI Lab Skunkworks team, Long Stayer Risk Stratification use
Official PyTorch implementation of the paper "Recycling Discriminator: Towards Opinion-Unaware Image Quality Assessment Using Wasserstein GAN", accepted to ACM MM 2021 BNI Track.
RecycleD Official PyTorch implementation of the paper "Recycling Discriminator: Towards Opinion-Unaware Image Quality Assessment Using Wasserstein GAN
A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch
Mixup: Beyond Empirical Risk Minimization in PyTorch This is an unofficial PyTorch implementation of mixup: Beyond Empirical Risk Minimization. The co
A PyTorch Implementation of Neural IMage Assessment
NIMA: Neural IMage Assessment This is a PyTorch implementation of the paper NIMA: Neural IMage Assessment (accepted at IEEE Transactions on Image Proc
NIMA: Neural IMage Assessment
PyTorch NIMA: Neural IMage Assessment PyTorch implementation of Neural IMage Assessment by Hossein Talebi and Peyman Milanfar. You can learn more from
Repo for 2021 SDD assessment task 2, by Felix, Anna, and James.
SoftwareTask2 Repo for 2021 SDD assessment task 2, by Felix, Anna, and James. File/folder structure: helloworld.py - demonstrates various map backgrou
[CVPRW 2021] Code for Region-Adaptive Deformable Network for Image Quality Assessment
RADN [CVPRW 2021] Code for Region-Adaptive Deformable Network for Image Quality Assessment [Paper on arXiv] Overview Update [2021/5/7] add codes for W
Tilted Empirical Risk Minimization (ICLR '21)
Tilted Empirical Risk Minimization This repository contains the implementation for the paper Tilted Empirical Risk Minimization ICLR 2021 Empirical ri
TRIQ implementation
TRIQ Implementation TF-Keras implementation of TRIQ as described in Transformer for Image Quality Assessment. Installation Clone this repository. Inst
Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)
A Critical Assessment of State-of-the-Art in Entity Alignment This repository contains the source code for the paper A Critical Assessment of State-of
ARCH models in Python
arch Autoregressive Conditional Heteroskedasticity (ARCH) and other tools for financial econometrics, written in Python (with Cython and/or Numba used
Common financial risk and performance metrics. Used by zipline and pyfolio.
empyrical Common financial risk metrics. Table of Contents Installation Usage Support Contributing Testing Installation pip install empyrical Usage S
Portfolio and risk analytics in Python
pyfolio pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipl
"Very simple but works well" Computer Vision based ID verification solution provided by LibraX.
ID Verification by LibraX.ai This is the first free Identity verification in the market. LibraX.ai is an identity verification platform for developers
MagFace: A Universal Representation for Face Recognition and Quality Assessment
MagFace MagFace: A Universal Representation for Face Recognition and Quality Assessment in IEEE Conference on Computer Vision and Pattern Recognition
The earliest beta version of pytgcalls on Linux x86_64 and ARM64! Use in production at your own risk!
Public beta test. Use in production at your own risk! tgcalls - a python binding for tgcalls (c++ lib by Telegram); pytgcalls - library connecting pyt
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Documentation: https://raamana.github.io/neuropredict/ News As of v0.6, neuropredict now supports regression applications i.e. predicting continuous t