Python Value-at-risk Resources

Антикризисный риск-менеджмент личных финансов Риск-менеджмент личных финансов условиях санкций и/или финансового кризиса: делаем сегодня все, чтобы за

CaskDB - Disk based Log Structured Hash Table Store CaskDB is a disk-based, embedded, persistent, key-value store based on the Riak's bitcask paper, w

FastTreeSHAP FastTreeSHAP package is built based on the paper Fast TreeSHAP: Accelerating SHAP Value Computation for Trees published in NeurIPS 2021 X

DataScienceWithPython Get started with Data Science with Python An engaging journey to become a Data Scientist with Python TL;DR Download all Jupyter

Bitcoin Realized Volatility Forecasting with GARCH and Multivariate LSTM Author: Chi Bui This Repository Repository Directory ├── README.md

Overview of Credit Card Analysis In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm

solarSystemOrbitalSimulation graphical orbitational simulation of solar system planets with real values and physics implemented so you get a nice elli

k2hash_python Overview k2hash_python is an official python driver for k2hash. Install Firstly you must install the k2hash shared library: curl -o- htt

ViperDB 🐍 ViperDB is a lightweight embedded key-value store written in pure Pyt

The Temporal Robustness of Stochastic Signals Code needed to reproduce the examples found in "The Temporal Robustness of Stochastic Signals" Case stud

PyCache simple key:value server written with Python and client is here run server python -m pycache.server or from pycache.server import start_server

About the app In one particilar project, i had to import some key/value data to Prometheus. So i have decided to create my custom-built Node Exporter

This an API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the

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 This is the code for the LERP. Dataset The dataset used is MI

Trace all method entries and exits, the exit also prints the return value, if it is of basic type. The apk must have set the android:debuggable="true" flag.

Pynomial - a lightweight python library for implementing the many confidence intervals for the risk parameter of a binomial model

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

Value Retrieval with Arbitrary Queries for Form-like Documents Introduction Pytorch Implementation of Value Retrieval with Arbitrary Queries for Form-

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

A simple API that will return a key-value pair of randomly generated UUID. Key will be a timestamp and value will be UUID. While the server is running, whenever the API is called, it should return all the previous UUIDs ever generated by the API alongside a new UUID.

SWAP RATE Converts nominal survey data into a numerical values based on a dictionary lookup. It allows the user to switch nominal scale data from text

The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.

Deep Value Network (DVN) This code is a python reference implementation of DVNs introduced in Deep Value Networks Learn to Evaluate and Iteratively Re

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 for "An Empirical Investigation of Domian Generalization with Empirical Risk Minimizers" (NeurIPS 2021) Motivation and Introduction Domain Genera

This project is related to a No-SQL database, whose data are referred to autoctone botanic species. The final goal is creating a function that performs the estimation of the ornamental value, given the specific characteristics of a single species.

PyPortfolioOpt has recently been published in the Journal of Open Source Software 🎉 PyPortfolioOpt is a library that implements portfolio optimizatio

LSF-SAC Pytorch implementations of the paper Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy G

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

RiskyPortfolioGenerator Given a list of tickers, this algorithm generates a recommended portfolio for high-risk investors. Working in a group, we crea

The Python package for near duplicate video detection ⭐️ Introduction Videohash is a Python package for detecting near-duplicate videos (Perceptual Vi

mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat

ValueSet Converters Tools for converting value sets in different formats. Such as converting extensional value sets in CSV format to JSON format able

minvar_invest_portfolio This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing var

Predict-environmental-value-3dCNN This code is 3d-CNN model that can predict environmental value. Firstly, I built a model that can create a lot of bu

Lending Club Case Study Project Brief Solving this assignment will give you an idea about how real business problems are solved using EDA. In this cas

tendermint-tax A tool to help calculate the tax liability of staking rewards on Tendermint chains. Specifically, this tool calculates the fair market

OoD_Gen-Chest_Xray Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation Requirements (Installations) Install the following libra

[AAAI22] Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification We point out the overlooked unbiasedness in long-tailed clas

KVmail Key-Value база данных на Tarantool и REST API к ней. Документация к API доступна здесь. Requiremrnts ubuntu 16.04+ python3.6+ supervisord nginx

OH-MY-PICKLEDB oh-my-pickleDB is a lightweight, fast, and intuitive data manager written in python 📝 Table of Contents About Getting Started Deployme

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

The value of international students to the United States. Probability of getting a non-immigrant visa. Project timeline: Jan 2021 - April 2021 Project

python-mail A python mailserver meant for friends who value privacy and a hard to use interface.... Basic info This mailserver was just a random proje

MAVE: : A Product Dataset for Multi-source Attribute Value Extraction The dataset contains 3 million attribute-value annotations across 1257 unique ca

Understanding Minimum Bayes Risk Decoding This repo provides code and documentation for the following paper: Müller and Sennrich (2021): Understanding

Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im

multidict Multidict is dict-like collection of key-value pairs where key might be occurred more than once in the container. Introduction HTTP Headers

python-dotenv Python-dotenv reads key-value pairs from a .env file and can set them as environment variables. It helps in the development of applicati

redis-py The Python interface to the Redis key-value store. Installation | Contributing | Getting Started | Connecting To Redis Installation redis-py

Logical Neural Networks LNNs are a novel Neuro = symbolic framework designed to seamlessly provide key properties of both neural nets (learning) and s

A paper Introduction This is an official release of the paper Separate Contrastive Learning for Organs-at-Risk and Gross-Tumor-Volume Segmentation wit

PyTorch implementation of Decoupling Value and Policy for Generalization in Reinforcement Learning

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

About The Project This is a code for bitcoin fair value, its simply exclude bubble data using RANSAC method, and then plot the results. Check youtube

Threagile is an open-source toolkit for agile threat modeling:

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

Tempo: Optimizing risk-based breast cancer screening policies with reinforcement learning Introduction This repository was used to develop Tempo, as d

A set of scripts for a two-step procedure to measure the value of access to destinations across several modes of travel within a geographic area.

Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass

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

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

AWS Tags As A Database is a Python library using AWS Tags as a Key-Value database. This database is completely free* 💸

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

mev-inspect-py Maximal extractable value inspector for Ethereum, to illuminate the dark forest 🌲 💡 Given a block, mev-inspect finds: miner payments

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

Repo for paper "Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information" Notes I probabl

Oh365 User Finder Oh365UserFinder is used for identifying valid o365 accounts without the risk of account lockouts. The tool parses responses to ident

arxiv-sanity, but very lite, simply providing the core value proposition of the ability to tag arxiv papers of interest and have the program recommend similar papers.

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.

This is a package that allows you to create a key-value vault for storing variables in a global context. It allows you to set up a keyring with pre-defined constants which act as keys for the vault. These constants are then what is stored inside the vault. A key is just a string, but the value that the key is mapped to can be assigned to any type of object in Python. If the object is serializable (like a list or a dict), it can also be writen to a JSON file You can then use a decorator to annotate functions that you want to have use this vault to either store return variables in or to extract variables to be used as input for the function.

In this project, we are going to display the battery notification and the time left for the battery to drain out using the battery capacity value.

collision_risk_estimation Collision risk estimation using stochastic motion models. This is a new approach, based on stochastic models, to predict the

convex-value-python Python API wrapper library for Convex Value API. Further Links: Convex Value homepage @ConvexValue on Twitter JB on Twitter Authen

Agent-based model simulation for air quality and pandemic risk assessment in architectural spaces. User Guide archABM is a fast and open source agent-

Modify the value and status of the records KoboToolbox (Modica el valor y status de los registros de KoboToolbox)

Kernelized-HRM Jiashuo Liu, Zheyuan Hu The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization"[1]. This repo contains the cod

Offline Reverse Image Search Overview This app finds duplicate to near duplicate images by generating a hash value for each image stored with a specia

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] This repository is the official implementation of Moiré Attack (MA): A New Pot

Fortitudo Technologies Open Source This package allows you to freely explore open-source implementations of some of our fundamental technologies under

MicLeveler Fixes your Microphone Level to one specific value. Intention A friend of mine has the problem that some programs are setting his microphone

Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees" Installa

Random JSON Key:Value Pair Generator This simple script take an engish dictionary of words and and makes random key value pairs. The dictionary has ap

StarterCode for VALUE Benchmark This is the starter code for VALUE Benchmark [website], [paper]. This repository currently supports all baseline model

BasicRL: easy and fundamental codes for deep reinforcement learning BasicRL is an improvement on rainbow-is-all-you-need and OpenAI Spinning Up. It is

rpi - rolimon's python interaction rpi is an open source python-based rolimon's api wrapper. It provides an end-to-end pipeline in which each componen

VIN: Value Iteration Networks A quick thank you A few others have released amazing related work which helped inspire and improve my own implementation

VIN: Value Iteration Networks This is an implementation of Value Iteration Networks (VIN) in PyTorch to reproduce the results.(TensorFlow version) Key

Value Iteration Networks in PyTorch Tamar, A., Wu, Y., Thomas, G., Levine, S., and Abbeel, P. Value Iteration Networks. Neural Information Processing

Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit

NHS AI Lab Skunkworks project: Long Stayer Risk Stratification A pilot project for the NHS AI Lab Skunkworks team, Long Stayer Risk Stratification use

Mixup: Beyond Empirical Risk Minimization in PyTorch This is an unofficial PyTorch implementation of mixup: Beyond Empirical Risk Minimization. The co

emoji-math computes the given python expression and returns either the value or the nearest 5 emojis as measured by cosine similarity.

NDQ: Learning Nearly Decomposable Value Functions with Communication Minimization Note This codebase accompanies paper Learning Nearly Decomposable Va

This repo contains the cleaned-up code that was used in "Weighted QMIX: Expanding Monotonic Value Function Factorisation"

On the model-based stochastic value gradient for continuous reinforcement learning This repository is by Brandon Amos, Samuel Stanton, Denis Yarats, a

MurMurHash This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform. What is MurMurHash? Murm