acerbilab / pybadsLinks
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
☆76Updated 8 months ago
Alternatives and similar repositories for pybads
Users that are interested in pybads are comparing it to the libraries listed below
Sorting:
- PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python☆121Updated last week
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆60Updated last year
- ☆24Updated 2 years ago
- Inverse optimal control for continuous psychophysics☆28Updated 3 months ago
- Development of HSSM package☆102Updated this week
- The framework for inferring Langevin dynamics from spike data☆45Updated 4 months ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- ☆11Updated 2 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Updated 2 years ago
- This is a community-driven collection of resources around amortized inference.☆48Updated 11 months ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 11 months ago
- Machine Learning with Echo State Networks, a scikit-learn compatible package.☆44Updated last week
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Simulation-based inference benchmark☆102Updated 8 months ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Optimal Bayesian Experiment Design☆40Updated last year
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆115Updated 3 weeks ago
- ☆21Updated last year
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
- Project repo for gpSLDS☆13Updated 9 months ago
- ☆25Updated last year
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Updated last year
- A generic interface for linear algebra backends☆73Updated 7 months ago
- Tikhonov regression in python☆32Updated last year
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Recurrent state-space models for decision making☆30Updated 2 years ago