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Projects in Awesome Lists tagged with extrapolation

A curated list of projects in awesome lists tagged with extrapolation .

https://github.com/thu-ml/riflex

Official implementation for "RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers" (ICML 2025)

cogvideox diffusion diffusion-models diffusion-transformer dit extrapolation generative-model hunyuan-video long-video-generation position-embedding rope video-generation

Last synced: 01 Jul 2025

https://github.com/borischumichev/everpolate

Numerical interpolation and extrapolation lib

extrapolation interpolation javascript

Last synced: 09 Apr 2025

https://github.com/ssydasheng/neural-kernel-network

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

extrapolation gaussian-processes kernel-methods machine-learning

Last synced: 06 Oct 2025

https://github.com/lungben/curves.jl

A collection of points (x, y), together with an interpolation and extrapolation method, on which standard calculation functions are defined.

extrapolation interpolations market-data

Last synced: 03 Mar 2026

https://github.com/densitymodelling/dsmextra

Extrapolation assessments in density surface models

abundance-estimation cetacean ecological-modelling extrapolation marine

Last synced: 11 Feb 2026

https://github.com/pforret/estimator

PHP package to help with statistic estimation

calculation estimation extrapolation interpolation statistics

Last synced: 03 Mar 2025

https://github.com/jacksonburns/use-rse-23-astartes

Extrapolation and Interpolation in Machine Learning Modeling with Fast Food and astartes

extrapolation interpolation machine-learning reproducibility sampling

Last synced: 09 Jun 2026

https://github.com/sshh12/cida

An unofficial refactor of the code used by the ICML 2020 paper "Continuously Indexed Domain Adaptation"

cida domain-adaptation extrapolation mnist pytorch

Last synced: 15 May 2026

https://github.com/touradbaba/thesis-quantum-gnn-learnability

This repository hosts code for a thesis on learning full output distributions of quantum circuits using Transformer-based Graph Neural Networks. It includes dataset generation under noiseless and noisy settings, circuit feature engineering, GNN and CNN modeling, transfer learning across qubit sizes, and model evaluation.

cnn deep-learning distribution-learning extrapolation gnn graph-neural-networks graph-transformer machine-learning multi-output-regression pytorch pytorch-geometric qaoa qiskit quantum-circuits quantum-computing quantum-machine-learning quantum-noise thesis transfer-learning

Last synced: 15 Apr 2026

https://github.com/lisechemistry/numerical_methods_master_projects

Numerical projects using Fortran and Python: interpolation/extrapolation of molecular potentials (O₂, C₂H₅), integration and differentiation (average value, VO₂(R)), and model fitting of a spectroscopic Hamiltonian.

differentiation extrapolation fortran integration interpolation-methods numerical-methods python sobol-sequence

Last synced: 27 Jan 2026

https://github.com/ssinad/puzzle

An attempt to solve a puzzle using a neural network

extrapolation machine-learning neural-network puzzle

Last synced: 24 Mar 2025

https://github.com/joshburkart/bulirsch

Bulirsch-Stoer method for solving ordinary differential equations in Rust

bulirsch-stoer extrapolation integration numerical-methods ordinary-differential-equations rust

Last synced: 03 Mar 2026