acerbilab / pybadsLinks
PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python
☆75Updated 5 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☆120Updated 5 months ago
- Inverse optimal control for continuous psychophysics☆27Updated 2 weeks ago
- The framework for inferring Langevin dynamics from spike data☆38Updated 2 months ago
- Development of HSSM package☆95Updated this week
- ☆23Updated last year
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- ☆24Updated last year
- Estimating Noise Correlations in Neural Populations with Wishart Processes☆8Updated last year
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Automated dynamical systems inference☆38Updated 2 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆10Updated last year
- Conditional density estimation with neural networks☆31Updated 5 months ago
- ☆11Updated 2 years ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆104Updated last week
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated last year
- large scale variational Gaussian state-space models☆13Updated this week
- ☆21Updated last year
- Recurrent Switching Linear Dynamical Systems☆111Updated 2 years 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
- Machine Learning with Echo State Networks, a scikit-learn compatible package.☆43Updated last month
- A generic interface for linear algebra backends☆73Updated 4 months ago
- PyHGF: A neural network library for predictive coding☆90Updated 2 months ago
- Tikhonov regression in python☆32Updated last year
- Project repo for gpSLDS☆11Updated 6 months ago
- Demixed Shared Component Analysis☆13Updated 4 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆35Updated 4 years ago