DurstewitzLab / GTF-shPLRNNLinks
☆16Updated last year
Alternatives and similar repositories for GTF-shPLRNN
Users that are interested in GTF-shPLRNN are comparing it to the libraries listed below
Sorting:
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- Copula-GP model☆16Updated 2 years ago
- Reservoir computing utilities for scientific machine learning (SciML)☆217Updated 2 weeks ago
- A Julia Package for Active Inference☆33Updated 2 weeks ago
- ☆24Updated 2 years ago
- Project repo for gpSLDS☆14Updated 9 months ago
- Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"☆13Updated 4 years ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆122Updated 3 weeks ago
- ☆15Updated 2 years ago
- Automated dynamical systems inference☆38Updated 2 years ago
- ☆22Updated last year
- A flexible toolkit for simulation based inference in Julia☆19Updated 4 months ago
- Quantify geometric intelligence in natural and artificial brains.☆51Updated 4 months ago
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Exercises and examples for the latent dynamics workshop☆19Updated 3 months ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Jax SSM Library☆48Updated 2 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Updated 2 years ago
- ☆40Updated 3 years ago
- Demixed Shared Component Analysis☆13Updated 5 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- ☆51Updated 4 years ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆42Updated 2 years ago
- ☆11Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- A generic interface for linear algebra backends☆74Updated 7 months ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated last month
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago