acerbilab / pybads
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
☆72Updated 2 months ago
Alternatives and similar repositories for pybads:
Users that are interested in pybads are comparing it to the libraries listed below
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆117Updated last month
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆58Updated 9 months ago
- Inverse optimal control for continuous psychophysics☆27Updated last month
- ☆23Updated last year
- Development of HSSM package☆90Updated this week
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆85Updated 2 weeks ago
- PyHGF: A neural network library for predictive coding☆67Updated 2 weeks ago
- Conditional density estimation with neural networks☆30Updated 2 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 4 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆60Updated 9 months ago
- ☆20Updated 10 months ago
- Simulation-based inference benchmark☆96Updated 2 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated last year
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated last year
- Recurrent state-space models for decision making☆30Updated 2 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆22Updated 4 months ago
- A generic interface for linear algebra backends☆71Updated 3 weeks ago
- The framework for inferring Langevin dynamics from spike data☆30Updated last month
- ☆11Updated 2 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆11Updated last year
- This is a community-driven collection of resources around amortized inference.☆29Updated 4 months ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆10Updated last year
- Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB☆222Updated last year
- Community-sourced list of papers and resources on neural simulation-based inference.☆112Updated 2 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆13Updated 2 years ago
- ☆60Updated 7 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated last year
- ☆20Updated 11 months ago