llbxg / hundunLinks
🦋 hundun is a python library for the exploration of chaos.
☆13Updated 2 years ago
Alternatives and similar repositories for hundun
Users that are interested in hundun are comparing it to the libraries listed below
Sorting:
- A Brief Introduction to Path Signatures for Machine Learning Practitioners☆56Updated 4 years ago
- Higuchi Fractal Dimension (HFD) for 1D(time) series☆51Updated 2 years ago
- A Python package for data analysis with permutation entropy and ordinal network methods.☆110Updated 2 months ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆80Updated 2 years ago
- Implementation of a reservoir computer with functions to optimize the parameters and calculate the Lyapunov exponents☆32Updated 3 years ago
- Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory☆36Updated 4 years ago
- Conformal Prediction for Time Series with Modern Hopfield Networks☆85Updated 8 months ago
- Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.☆61Updated last year
- Code examples for pyFTS☆52Updated 6 years ago
- Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)☆64Updated 2 months ago
- Time series forecasting with PyTorch☆86Updated 3 weeks ago
- Python package to discover stochastic differential equations from time series data☆99Updated last year
- Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series☆137Updated 2 years ago
- Multifractal Detrended Fluctuation Analysis in Python☆153Updated 3 years ago
- A Python Wrapper for the Inform Information Analysis Library☆56Updated 6 years ago
- Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes☆49Updated 3 years ago
- Bayesian Dynamic Linear Models for time-series analysis☆26Updated 3 years ago
- ☆34Updated 5 years ago
- A Python module implementing some standard algorithms used in nonlinear time series analysis☆192Updated last year
- Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)☆56Updated 5 months ago
- RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical sy…☆98Updated 2 years ago
- Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…☆118Updated 3 years ago
- WEASEL 2.0 - A Random Dilated Dictionary Transform for Fast, Accurate and Constrained Memory Time Series Classification☆17Updated 8 months ago
- Conformal prediction for time-series applications.☆132Updated 2 years ago
- python implementation of catch22☆92Updated 6 months ago
- SdePy: Numerical Integration of Ito Stochastic Differential Equations☆44Updated 4 years ago
- A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.☆94Updated last year
- A Python library for vine copula models☆119Updated 2 months ago
- Code for: "A Generalised Signature Method for Time Series"☆65Updated 2 years ago
- NetF, an alternative set of features, incorporating several representative topological measures of different complex networks mappings of…☆17Updated 3 years ago