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GitHub topics: svi

joshuapjacob/crypto-volatility-surface

A dashboard to visualize cryptocurrency implied volatility surfaces constructed with option data from Binance.

Language: Python - Size: 354 KB - Last synced at: about 6 hours ago - Pushed at: about 6 hours ago - Stars: 60 - Forks: 8

mdp0023/SVInsight

SVInsight: A python package for calculating an exploratory social vulnerability index (SVI).

Language: Python - Size: 79.3 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 7 - Forks: 1

hedge0/VolSplinesLib

VolSplinesLib is a Python library for interpolating implied volatility surfaces using various volatility models. The library provides tools for fitting and interpolating models to market data, supporting popular methods like RFV, SLV, SABR, and SVI.

Language: Python - Size: 17.6 KB - Last synced at: 16 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

beansrowning/not_svi Fork of sethmund/svi

Ceci n'est pas le SVI

Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

broadinstitute/temporal-rna-seq-deconvolution

Package for temporal deconvolution of bulk RNA-seq samples using SVI

Language: Jupyter Notebook - Size: 22.1 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

robinlitjens/GoogleTickerStock-SVI

Google Ticker Stock SVI (TS-SVI)

Size: 39.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 11 - Forks: 1

aungmyohtut21/SVI-Shiny-Dashboard

A Shiny Dashboard visualizing the Social Vulnerability Index (SVI) for the city of Portland, Maine.

Language: R - Size: 70.3 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

edwarddramirez/sparse-tinygp

Bayesian inference using sparse gaussian processes from tinygp. Examples include 1D and 2D implementation.

Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

edwarddramirez/derivative-tinygp

Summary notebooks using derivative gaussian processes with tinygp. We implement a 2D derivative gaussian process and successfully use derivatives to regularize SVI fits with a gaussian process model..

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

Rakibul73/Cisco_Packet_Tracer_Project

CCE-314 , CCE-416

Size: 972 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

yulu0131/VolaDocs

Volatility Model Documentation

Size: 11.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

amastaneh/covid19-self-assessment

COVID-19 Symptom Self-Assessment mockup tools is a recommendation on the next steps to follow, according to your condition when you believe you have been exposed to COVID-19 or have symptoms similar to COVID-19.

Language: JavaScript - Size: 717 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

NewportDataPortal/Social-Vulnerability-Index-2016-RI

CDC Social Vulnerability Index (SVI) data for Rhode Island.

Size: 402 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

csanicola74/CDC-ATSDR-SVI-Match

This project provides tools and scripts to map ZIP codes to county-level FIPS codes and tract-level FIPS codes using a ZIP_COUNTY crosswalk. It also maps the `RPL_THEMES` value from the `SVI_2020_US_county` dataset for each county FIPS.

Language: Jupyter Notebook - Size: 23.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

PolanZ/svi-cli

south vi 系统脚手架,专注内部SVN系统脚手架

Language: JavaScript - Size: 26.4 KB - Last synced at: 30 days ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

muellermax/Covid-19-USA-social-vulnerability

Investigate correlations between Covid-19 confirmed cases/deaths and selected social vulnerability indicators in the USA

Language: Jupyter Notebook - Size: 35.2 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1