Alternatives and similar repositories for Koopman-TGNN-Interpretability

Users that are interested in Koopman-TGNN-Interpretability are comparing it to the libraries listed below

• Boris-73-TA / OrthogPolyKANs
  Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.
  ☆39Updated last year
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆83Updated 6 months ago
• DurstewitzLab / ChaosRNN
  ☆20Updated 2 years ago
• kyegomez / Aurora
  Implementation of the paper: "Aurora: A Foundation Model of the Atmosphere" in PyTorch
  ☆22Updated last week
• simonmoesorensen / neural-ode-project
  Deeplearning project at The Technological University of Denmark (DTU) about Neural ODEs for finding dynamics in ordinary differential equ…
  ☆17Updated 3 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆75Updated 3 years ago
• PhIMaL / temporal_normalizing_flows
  ☆11Updated 4 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• yongkyung-oh / Stable-Neural-SDEs
  [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
  ☆61Updated 3 months ago
• ahmedmalaa / Fourier-flows
  ☆18Updated 3 years ago
• bw-park / ACSSM
  Pytorch Implmentation of Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series (ACSSM), ICLR 2025 Oral
  ☆21Updated 9 months ago
• jaggbow / magnet
  This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495
  ☆38Updated 2 years ago
• DurstewitzLab / HierarchicalDSR
  Hierarchical multi-system training framework for dynamical systems reconstruction (from Brenner et al. 2025 ICLR)
  ☆15Updated 9 months ago
• yantijin / ScoreGradPred
  Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
  ☆87Updated 10 months ago
• SpaceLearner / JacobiKAN
  Kolmogorov-Arnold Networks (KAN) using Jacobi polynomials instead of B-splines.
  ☆41Updated last year
• mlech26l / ode-lstms
  Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series
  ☆119Updated 2 years ago
• wwy155 / FAN
  ☆17Updated last year
• mllam / weather-model-graphs
  Tooling for creating, visualising and storing data-driven weather-model graphs
  ☆19Updated last month
• williamgilpin / shrec
  Reconstructing shared causal drivers from noisy time series
  ☆58Updated last year
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• sandialabs / quinn
  Quantification of Uncertainties in Neural Networks
  ☆11Updated last month
• mariodeflorio / AI-Lorenz
  ☆34Updated last year
• sidhu2690 / RBF-KAN
  This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.
  ☆29Updated last year
• edebrouwer / latentCCM
  Implementation of the Latent CCM paper
  ☆16Updated last year
• marshka / hdtts
  Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)
  ☆16Updated 9 months ago
• davecasp / add-thin
  This is the reference implementation of our NeurIPS 2023 paper "Add and Thin: Diffusion for Temporal Point Processes"
  ☆19Updated last year
• Friger / GAGNN
  add codes
  ☆19Updated 4 years ago
• neuraloperator / markov_neural_operator
  ☆39Updated 3 months ago
• yakovlev31 / graphpdes
  ☆14Updated 4 years ago