Alternatives and similar repositories for neuralgbi

Users that are interested in neuralgbi are comparing it to the libraries listed below

• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆69Updated 2 months ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆33Updated 7 months ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆61Updated last year
• Dynamics-of-Neural-Systems-Lab / RVGP
  A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…
  ☆24Updated 10 months ago
• lindermanlab / gpslds
  Project repo for gpSLDS
  ☆13Updated 7 months ago
• acerbilab / pybads
  PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
  ☆75Updated 7 months ago
• dirmeier / sbijax
  Simulation-based inference in JAX
  ☆32Updated 4 months ago
• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆120Updated 6 months ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• smsharma / hierarchical-inference
  Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
  ☆13Updated 2 years ago
• NIFTy-PPL / NIFTy
  Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions
  ☆34Updated 2 weeks ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 4 years ago
• smsharma / awesome-neural-sbi
  Community-sourced list of papers and resources on neural simulation-based inference.
  ☆124Updated 3 months ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• dieterichlawson / snax
  ☆12Updated 2 years ago
• GriffithsLab / dl-paramest-for-neurophys-models
  ☆11Updated last year
• AdrienCorenflos / particle_mala
  Gradient-informed particle MCMC methods
  ☆12Updated last year
• hugorichard / multiviewica
  MultiViewICA: Modeling shared sources
  ☆29Updated 3 years ago
• INM-6 / nnmt
  Neuronal Network Meanfield Toolbox - official documentation: https://nnmt.readthedocs.io
  ☆13Updated last year
• mackelab / gatsbi
  GATSBI: Generative Adversarial Training for Simulation-Based Inference
  ☆19Updated 2 years ago
• ins-amu / vbjax
  A nascent Jax-based package for virtual brain modeling.
  ☆11Updated 2 months ago
• lnccbrown / HSSM
  Development of HSSM package
  ☆100Updated this week
• catniplab / xfads
  large scale variational Gaussian state-space models
  ☆15Updated 3 weeks ago
• Vincent-wq / EECoG-Comp
  first version
  ☆15Updated 3 years ago
• lee-group-cmu / lf2i
  Likelihood-Free Frequentist Inference
  ☆17Updated 3 months ago
• mackelab / neural_timeseries_diffusion
  This repository contains research code for the paper "Generating realistic neurophysiological time series with denoising diffusion probab…
  ☆79Updated 3 months ago
• danclab / laMEG
  Toolbox for laminar inference with MEG
  ☆18Updated this week
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆108Updated this week