Multidimensional B-Spline Interpolation of Data on a Regular Grid
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Updated
Jan 7, 2024 - Fortran
Multidimensional B-Spline Interpolation of Data on a Regular Grid
Numerical interpolation and extrapolation lib
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
📈 SiRE (Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data), accepted by CIKM'2022 🗽
Framework for autonomous learning of explainable graph neural networks
Runner-up team (2nd place) in AI4VN2022: Air Quality Forcasting Challenge
Fast Paced Multiplayer Online Game
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Implementation of the Smith-Wilson yield curve fitting algorithm in Python for interpolations and extrapolations of zero-coupon bond rates
This repository contains homework solution of the Numerical analysis lesson at Shahid Beheshti University.
Popular way to model the yield curve called Nelson-Siegel-Svannson algorithm.
Deep 3D Semantic Scene Extrapolation
Implementation of the Smith & Wilson algorithm for interpolation and/or extrapolation of missing interest rates in Python.
A professional list of Papers on AI for Spatial Interpolation in AI conferences and journals.
Monotonic cubic interpolation in Julia
Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning (OASLTIP) Using Bluetooth Low Energy
A collection of points (x, y), together with an interpolation and extrapolation method, on which standard calculation functions are defined.
Python library for radar Bandwidth Extrapolation (BWE)
[ICML23] Extrapolated Random Tree for Regression
The focus of function approximation problems has been on identifying some suitable function without attempting to gain insight into the mechanism of the system. The performance of the model boils down to interpolation. But, in a more realistic setting, we expect test data from outside the distribution of the training set. To better extrapolate t…
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