#Curves

Showing 6 of 6 repositories tagged #curves, ranked by stars

attack68
attack68
rateslib

A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.

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0
โ˜… 351 โ‘‚ 66 +2/day
GAA-UAM
GAA-UAM
scikit-fda

Functional Data Analysis Python package

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0
โ˜… 345 โ‘‚ 66 โ€”
Python
YYFlutter
YYFlutter
flutter-animation-set

๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅ Easy to build an animation set

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0
โ˜… 286 โ‘‚ 23 โ€”
Dart
zhenfeizhang
zhenfeizhang
pasta-solidity

A Solidity implementation of Halo2's Pasta curves

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0
โ˜… 51 โ‘‚ 2 โ€”
Rust
LastAncientOne
LastAncientOne
Mathematics_for_Machine_Learning

Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.

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0
โ˜… 44 โ‘‚ 25 โ€”
Jupyter Notebook
mnarulabuilds
mnarulabuilds
WeatherAI

Machine Learning Project for classifying Weather into ThunderStorm (0001) , Rainy(0010) , Foggy (0100) , Sunny(1000) and also predict weather features for next one year after training on 20 years data on a neural network This is my first Machine Learning Project. Steps To run the project: Extract the files into a single directory ( say "MyWeatherProject" ) Open Octave(GUI) and go to the above directory Type the following in the COMMAND WINDOW : "YearlyForecast();" (without double quotes) Open the files "PredictionWeather1997.txt" to "PredictionWeather2016.txt" and compare with actual results from "Weather1997.txt" to "Weather2015.txt". Curves are plotted to compare predictions with actual weather conditions and they will be saved in the same directory...

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0
โ˜… 29 โ‘‚ 8 โ€”
Python
Related Topics
#machine-learning#python#statistics#bonds#cross-currency#currency#derivatives#derivatives-pricing#finance#fixed-income#fx#inflation

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