NinelK / CopulaGPLinks
Copula-GP model
☆16Updated last year
Alternatives and similar repositories for CopulaGP
Users that are interested in CopulaGP are comparing it to the libraries listed below
Sorting:
- ☆15Updated 2 years ago
- Highly Comparative Graph Analysis - Code for network phenotyping☆50Updated last year
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆44Updated last year
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 8 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated last week
- ☆16Updated last year
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- Dynamical Components Analysis☆33Updated last month
- ☆24Updated 2 years ago
- Exercises and examples for the latent dynamics workshop☆19Updated 2 months ago
- ☆30Updated 3 years ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.☆93Updated 5 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆69Updated 2 years ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Updated 4 years ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆11Updated last year
- Project repo for gpSLDS☆13Updated 9 months ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Estimate dynamic high-order correlations in multivariate timeseries data☆40Updated 3 months ago
- Some of my python tools for computational neuroscience☆12Updated this week
- ☆21Updated last year
- a Python package for unbiased estimation of timescales and hypothesis testing