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 7 months ago
- Inverse optimal control for continuous psychophysics☆27Updated 2 months ago
- Development of HSSM package☆101Updated last week
- The framework for inferring Langevin dynamics from spike data☆45Updated 4 months ago
- Richard @rdgao & Michael @michaeldeistler: using neural network-based regression and density estimation for Generalized Bayesian Inferenc…☆11Updated 2 years ago
- ☆23Updated 2 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆24Updated 10 months ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- ☆21Updated last year
- Tikhonov regression in python☆32Updated last year
- ☆25Updated last year
- ☆11Updated 2 years ago
- Machine Learning with Echo State Networks, a scikit-learn compatible package.☆44Updated 3 months ago
- This is a community-driven collection of resources around amortized inference.☆46Updated 10 months ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆112Updated 2 weeks ago
- Project repo for gpSLDS☆13Updated 8 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 8 months ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Updated last year
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- MultiViewICA: Modeling shared sources☆29Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
- PyHGF: A neural network library for predictive coding☆95Updated last week
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago