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Search results for jupyter notebook risk
jupyter-notebook
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risk
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75 search results found
Pyfolio
⭐
5,274
Portfolio and risk analytics in Python
Pyportfolioopt
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3,936
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Financepy
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1,711
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Ventilator
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1,644
Low-Cost Open Source Ventilator or PAPR
Ml_privacy_meter
⭐
501
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Dx
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484
DX Analytics | Financial and Derivatives Analytics with Python
Notebooks
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262
atoti notebooks gallery
Cmip6 Downscaling
⭐
141
Climate downscaling using CMIP6 data
Ml_riskmanagement
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116
Short Course - Applied Machine Learning for Risk Management
Rong360_2nd
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74
第三届融360天机智能金融算法挑战赛-第二题:特征挖掘
Credit Risk Modelling
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71
Credit Risk analysis by using Python and ML
Risk Adjusted Bonding Curves
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57
Public Repo for Collaboration between Interchain Foundation and BlockScience
Ore Swig
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43
Invariant Risk Minimization
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32
Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
Pythonforfinanceriskandreturn
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32
A full course with Python on financial risk and return. Includes video content in 8 lessons with JuPyter Notebooks.
Efficient Frontier
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30
A Python implementation of Modern Portfolio Theory, with applications to philanthropy
Insurance_python
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28
All Python algorithms published by OSM in one place.
Alternative Bars
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27
Generate various Alternative Bars both historically and at real-time.
Deep Hedging
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25
Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.
Pybor
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24
PYBOR is multi-curve interest rate framework and risk engine based on multivariate optimization techniques, written in Python
Flowrisk
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24
A Python Implementation of Measures for Order Flow Risk, e.g. VPIN
Climada_papers
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23
Pyro Risks
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23
Data science for wildfire risk forecasting and monitoring
Risktools Dev
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21
Risk tools for commodities trading and finance
Multi Factor Model
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19
Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.
Covidcompare
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18
Project to map covid19 risk in the US
Floodrisk
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17
Study & assessment of probable impact of catastrophic flood events & manage flood risk with a first order flood-fill model developed using Python geospatial libraries
Kelly_code
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17
Code and examples for the project on risk-constrained Kelly gambling
Finance World
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16
Optimization techniques on the financial area for the hedging, investment starategies, and risk measures
Ai Openscale Tutorials
⭐
16
Watson OpenScale tutorials including sample models, notebooks and applications
California Fire Zone Analysis
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14
A Los Angeles Times analysis of California buildings within fire hazard zones
Kaggle Automated Feature Engineering
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14
Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition
Fire_risk_analysis
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14
Modeling structure fire risk to inform fire inspections
Cvd Risk Estimator
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13
A deep learning model (Tri2D-Net) for predicting cardiovascular disease risks from lung cancer screening LDCT
Eeconvert
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13
earth engine conversion for jupyter notebook use
Cmprsk
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12
Regression modeling of sub-distribution functions in competing risks
Ccdr Tools
⭐
10
Geoanalytics for climate and disaster risk screening
Covid19_risk_estimation
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10
Risk
⭐
9
NYT Risk Semantics Project
Cid 2018 Cfd Challenge
⭐
9
A repository of resources for the CFD Challenge (Sponsor: City of Charlottesville Fire Department)
Fair_notebook
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9
A Jupyter Notebook for Running Basic FAIR Analysis
Workstreams
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9
This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.
Credit Risk Classification
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8
Machine learning playground for credit risk classification
Risk And Uncertainty
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8
Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"
Volatility Study
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8
• Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot and options prices data from CBOE and Yahoo Finance • Utilized NumPy, Pandas, and SciPy packages to calculate implied volatility, realized volatility, and risk premiums to measure how the market prices risk • Gathered and plotted daily VIX futures data with Selenium, Seaborn and Matplotlib to study volatility term structure • Examined volatility clustering and
Advanced Bandit Problems
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8
More about the exploration-exploitation tradeoff with harder bandits
Segthor19 Using Resu Net
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8
The recent advances in the field of computer vision has led to the wide use of Convolutional Neural Networks (CNNs) in organ segmentation of computed tomography (CT) images. Image guided radiation therapy requires the accurate segmentation of organs at risk (OARs). In this paper, we propose a 2D U-Net network to automatically segment thoracic organs at risk in computed tomography (CT) images. The architecture consists of a down sampling path to capture features and a symmetric up sampling path t
Portfolio Construction
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8
In this project I constructed a model which allows to divide the porpotion of budget into an international portfolio.
Peervest
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8
A Peer-to-Peer Lending Robo-Advisor Using a Neural Network (Probability of Default) and a Random Forest Regression (Annualized Returns)
Btup
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8
Jupyter notebooks on financial engineering.
Datasci Firerisk
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8
This project attempts to model and acquire data from SF OpenData - and other sources - to predict the relative risk of fire in San Francisco’s buildings and public spaces.
3rd Position Solution_for_the__african Covid 19__zindi_hackathon
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7
Can we infer important COVID-19 public health risk factors from outdated data? In many countries census and other survey data may be incomplete or out of date. This challenge is to develop a proof-of-concept for how machine learning can help governments more accurately map COVID-19 risk in 2020 using old data, without requiring a new costly, risky, and time-consuming on-the-ground survey. The 2011 census gives us valuable information for determining who might be most vulnerable to COVID-19 in S
Shangrla
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7
Sets of Half-Average Nulls Generate Risk-Limiting Audits: tools for assertion-based risk-limiting election audits
Agora
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7
📈Financial Markowitz Portfolio Optimization (Bonds, Stocks, Commodities), including classical Efficient Frontier, Utility Function etc.
Macroeconomic Default Analysis
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7
Reassessment of P2P Credit Risk Modeling with Macroeconomic Factors
Stock Market Analysis Using Python Pandas Numpy
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7
- Performed stock market analysis of technology company’s stocks. - Used pandas to get stock information and to visualize different aspects of stock and performed risk analysis of the stock based on its previous performance history.
Capm Ff Stock Analysis
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7
In this project I have analysed two main stocks ,one is from PSX-100 i.e Netsol and the other is from NYSE i.e Tesla.
Climate Change Risk Analysis
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6
Weighted overlay of climate change risk factors
Cord 19
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6
Kaggle challenge - task "What do we know about COVID-19 risk factors?"
Home_credit_default_risk
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6
31st place solution for Home Credit Default Risk competition
Predictiveness Curve
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6
Plot predictiveness curve
Vix_prediction
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6
A time series prediction project on the CBOE VIX index.
Modernporfoliotheory
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6
A live script to perform numerical simulations and find the best portfolio composition in accordance with the latest Modern Portfolio Theory
Sigmacoin
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6
A Markowitz diversified cryptocoin experiment.
Risk Redistribution Payment Dappcon
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6
A Risk Redistribution Standard for Practical Cryptocurrency Payments
Risk Ai Workshop
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6
Lecture material and sample code for the workshop "Risk, Artificial Intelligence and Discrete Geometry" at the University of Ljubljana
Rmtk
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5
The Risk Modeller’s Toolkit prototype code.
Fire Risk
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5
Building a risk score to describe the expected severity of a fire on every parcel of land in Charlottesville, VA, and building a website to report these scores and help citizens reduce their fire risk.
Sa_risk_management
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5
Group project for the WorldQuant University module, risk management.
Cgmquantify
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5
cgmquantify-python package for analyzing glucose and glucose variability
Copro
⭐
5
(ML) model for computing conflict risk from climate, environmental, and societal drivers.
Insurance_jupyter
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5
All Jupyter Notebooks implemented by Open Source Modelling in one place.
T Carer
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5
Temporal-Comorbidity Adjusted Risk of Emergency Readmission
Reopening Of Super Spreader Businesses And Risk Of Covid 19 Transmission
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5
Top3 winning the MIT DATATHON COVID19
Case Study Fraud Detection
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5
Fraud Case Study Challenge: Given historical data, create a web based front-end with machine learning back-end to enable quick triage of potential new fraud. Classify transactions as high, medium or low risk.
Cervical Cancer Prediction
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5
In this data set, We have to predict the patients who are most likely to suffer from cervical cancer using Machine Learning algorithms for Classifications, Visualizations and Analysis.
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