mackelab / neuralgbiLinks
Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inference
☆10Updated last year
Alternatives and similar repositories for neuralgbi
Users that are interested in neuralgbi are comparing it to the libraries listed below
Sorting:
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆68Updated 3 weeks ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 8 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Project repo for gpSLDS☆11Updated 6 months ago
- Conditional density estimation with neural networks☆31Updated 5 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- ☆23Updated last year
- Simulation-based inference in JAX☆32Updated 3 months ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆75Updated 5 months ago
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆120Updated 5 months ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Estimating Noise Correlations in Neural Populations with Wishart Processes☆8Updated last year
- large scale variational Gaussian state-space models☆13Updated this week
- Development of HSSM package☆95Updated this week
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…☆77Updated 2 months ago
- The framework for inferring Langevin dynamics from spike data☆38Updated 2 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆118Updated 2 months ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆32Updated this week
- Toolbox for laminar inference with MEG☆18Updated last month
- MultiViewICA: Modeling shared sources☆29Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated 2 years ago
- ☆21Updated last year
- A nascent Jax-based package for virtual brain modeling.☆11Updated 2 weeks ago
- A nonlinear time series analysis toolbox☆12Updated 2 years ago
- first version☆15Updated 3 years ago
- THOI: An efficient library for higher order interactions analysis based on Gaussian copulas enhanced by batch-processing☆21Updated 3 months ago