Fourier-Bayesian estimation of stochastic volatility models
Code used to run the numerical examples of "Bayesian Approach for Parameter estimation of Continuous-Time Stochastic Volatility Models using FFourier Transform Methods" by Merkle, Saporito and Targino (Statistics & Probability Letters, Vol. 156, 2020). Available here https://www.sciencedirect.com/science/article/pii/S0167715219302469 and here https://arxiv.org/abs/1812.10556
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DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported ha
Typilus: Suggest Python Type Annotations A GitHub action that suggests type annotations for Python using machine learning. This action makes suggestio
A Software Framework for Neuromorphic Computing
STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim
The Greykite library provides flexible, intuitive and fast forecasts through its flagship algorithm, Silverkite.
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