Hermione - Wikipedia
Hermione most commonly refers to: Hermione Granger, a character in Harry Potter Hermione (given name), a female given name Hermione (mythology), only
harry potter - What is Hermione Granger's ethnicity? - Science Fiction ...
Oct 20, 2015 · Hermione emerged, coughing, out of the smoke, clutching the telescope and sporting a brilliantly purple black eye. Here is a second quote moments later when Mrs. Weasley attempts to fix …
Harry Potter (character) - Wikipedia
meets Hermione Granger. When he arrives at Hogwarts, he is assigned to Gryffindor House by the Sorting Hat. During the school year, he receives guidance
Arsha89/AGC_Analysis
Extracting neuronal functional network dynamics via adaptive Granger causality analysis (⭐ 18)
CsnowyLstar/HoGRC
Higher-order Granger reservoir computing (⭐ 26)
danielemarinazzo/KernelGrangerCausality
Code to evaluate nonlinear Granger causality using the kernel trick to reduce complexity (⭐ 35)
i6092467/GVAR
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks. (⭐ 80)
h-cel/ClimateVegetationDynamics_GrangerCausality
Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017 (⭐ 31)
mrosol/Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods. (⭐ 90)
ViniciusLima94/pyGC
Granger Causality library in python (⭐ 38)
Chris Granger on the LightTable architecture
Points: 184 | Comments: 99 | Author: lemming
iancovert/Neural-GC
Granger causality discovery for neural networks. (⭐ 235)
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MR…
It is a challenging research endeavor to infer causal relationships in multivariate observational time-series. Such data may be represented by graphs, where nodes represent time-series, and edges directed causal influence scores between them. If the...
Large-scale nonlinear Granger causality: A data-driven, multivariate approach to recoverin…
To gain insight into complex systems it is a key challenge to infer nonlinear causal directional relations from observational time-series data. Specifically, estimating causal relationships between interacting components in large systems with only sh...
Granger Causal Interaction Skill Chains
Reinforcement Learning (RL) has demonstrated promising results in learning policies for complex tasks, but it often suffers from low sample efficiency and limited transferability. Hierarchical RL (HRL) methods aim to address the difficulty of learnin...
Levenger - Wikipedia
“Levenger” was derived from their surnames, Leveen (Leve-) and Granger (-nger). They began selling lamps with an ad placed in The New Yorker magazine,
The market drives ETFs or ETFs the market: causality without Granger
This paper develops a deep learning-based econometric methodology to determine the causality of the financial time series. This method is applied to the imbalances in daily transactions in individual stocks, as well as the ETFs reported to SEC with a...
Mixed orthogonality graphs for continuous-time stationary processes
In this paper, we introduce different concepts of Granger causality and contemporaneous correlation for multivariate stationary continuous-time processes to model different dependencies between the component processes. Several equivalent characterisa...
Arabella Staton is the voice of Hermione in the new full-cast audiobooks!
Audible has just revealed the young cast bringing the Harry Potter books to life in brand-new full-cast audio editions. Among them, Arabella Staton has been announced as the voice of Hermione Granger....
Arabella Stanton - Wikipedia
Arabella Stanton (born 11 April 2014) is a British actress. In May 2025, she was confirmed to be cast as Hermione Granger in HBO's upcoming Harry Potter