Alternatives and similar repositories for pybads

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

• acerbilab / pyvbmc
  PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
  ☆124Updated last month
• lnccbrown / HSSM
  Development of HSSM package
  ☆109Updated this week
• RothkopfLab / lqg
  Inverse optimal control for continuous psychophysics
  ☆30Updated 2 months ago
• bayesflow-org / awesome-amortized-inference
  This is a community-driven collection of resources around amortized inference.
  ☆57Updated 2 weeks ago
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆49Updated 8 months ago
• tachukao / mgplvm-pytorch
  ☆24Updated 2 years ago
• lindermanlab / ssm-jax
  Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
  ☆63Updated last year
• lindermanlab / gpslds
  Project repo for gpSLDS
  ☆17Updated 3 weeks ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• mackelab / mnle-for-ddms
  Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)
  ☆18Updated 2 years ago
• davidzoltowski / ssmdm
  Recurrent state-space models for decision making
  ☆30Updated 3 years ago
• acerbilab / ibs
  Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB
  ☆33Updated 2 years ago
• mlcolab / sbi-workshop
  SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory
  ☆23Updated 2 years ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆177Updated this week
• sbi-dev / pyknos
  Conditional density estimation with neural networks
  ☆35Updated last year
• KordingLab / llm4papers
  ☆25Updated last year
• gallantlab / tikreg
  Tikhonov regression in python
  ☆32Updated 2 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆14Updated 3 years ago
• schwartenbeckph / CPC_ActiveInference2018
  Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018
  ☆34Updated 5 years ago
• cbueth / infomeasure
  Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with supp…
  ☆42Updated last week
• neurostatslab / wishart-process
  Estimating Noise Correlations in Neural Populations with Wishart Processes
  ☆10Updated last year
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆233Updated 2 years ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆17Updated 5 years ago
• 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…
  ☆25Updated last year
• pauljaffe / task-dyva
  ☆16Updated last year
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆71Updated last year
• mackelab / neuralgbi
  Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…
  ☆11Updated last month
• mackelab / simformer
  Combination of transformers and diffusion models for flexible all-in-one simulation-based inference
  ☆79Updated 7 months ago
• fabridamicelli / echoes
  Machine Learning with Echo State Networks, a scikit-learn compatible package.
  ☆44Updated 4 months ago
• pierreglaser / jupyter-slurm-setup-instructions
  ☆21Updated 3 months ago