mackelab / neuralgbiLinks
Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inference
☆11Updated last week
Alternatives and similar repositories for neuralgbi
Users that are interested in neuralgbi are comparing it to the libraries listed below
Sorting:
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆25Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Project repo for gpSLDS☆15Updated 11 months ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Updated 6 months ago
- Conditional density estimation with neural networks☆35Updated 11 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Estimating Noise Correlations in Neural Populations with Wishart Processes☆10Updated last year
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆82Updated 2 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆123Updated 3 weeks ago
- Demixed Shared Component Analysis☆13Updated 5 years ago
- ☆24Updated 2 years ago
- ☆12Updated last year
- Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io☆14Updated 2 years ago
- Simulation-based inference in JAX☆42Updated last month
- A nascent Jax-based package for virtual brain modeling.☆11Updated 2 weeks ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- MultiViewICA: Modeling shared sources☆29Updated 4 years ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆39Updated 2 weeks ago
- HiDimStat: High-dimensional statistical inference tool for Python☆30Updated last week
- Community-sourced list of papers and resources on neural simulation-based inference.☆138Updated last month
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 5 years ago
- Development of HSSM package☆106Updated last week
- This is material written for the masterclass Numerical and Analytical Methods for Spatially-Extended Neurobiological Networks, held at th…☆19Updated last year
- Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with supp…☆38Updated 3 months ago
- Toolbox for laminar inference with MEG☆20Updated last month
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆85Updated 7 months ago
- ☆12Updated 2 years ago
- Higher-Order Interactions☆43Updated 2 months ago
- Tikhonov regression in python☆32Updated 2 years ago