Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists by lacerbi
A curated list of projects in awesome lists by lacerbi .
https://github.com/lacerbi/optimviz
Visualize optimization algorithms in MATLAB.
matlab optimization optimization-algorithms visualization
Last synced: 01 Nov 2024
https://github.com/lacerbi/bamb2022-model-fitting
Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.
Last synced: 24 Oct 2024
https://github.com/lacerbi/workshop-nyu-2019
Introductory workshop to modeling and model fitting in cognitive and computational neuroscience
computational-neuroscience matlab modeling optimization tutorial
Last synced: 24 Oct 2024
https://github.com/lacerbi/workshop-bristol-2019
Introductory workshop to modeling and model fitting in psychophysics and neuroscience
computational-neuroscience matlab modeling optimization tutorial
Last synced: 24 Oct 2024
https://github.com/lacerbi/vbgmm
Variational Gaussian mixture model for MATLAB.
Last synced: 24 Oct 2024
https://github.com/lacerbi/psybayes
Bayesian adaptive stimulus placement of psychometric function for MATLAB.
Last synced: 24 Oct 2024
https://github.com/lacerbi/visvest-causinf
Bayesian comparison of causal inference strategies in multisensory heading perception
data modeling multisensory-integration visuo-vestibular-interaction
Last synced: 24 Oct 2024
https://github.com/lacerbi/changeprob
Human Online Adaptation to Changes in Prior Probability
bayesian-inference change-point-detection data modeling psychophysics
Last synced: 24 Oct 2024
https://github.com/lacerbi/lautils-mat
Luigi Acerbi's utility functions for MATLAB.
Last synced: 24 Oct 2024
https://github.com/lacerbi/tics-2020-tutorial
Tutorial on computational modeling and statistical model fitting part of the *Trends in Computational Neuroscience* graduate course of the University of Geneva (2020).
computational-neuroscience modeling optimization python tutorial
Last synced: 24 Oct 2024
https://github.com/lacerbi/gmm1
1-D Gaussian mixture model toolbox for MATLAB.
Last synced: 24 Oct 2024
https://github.com/lacerbi/eissample
Ensemble (inversion) slice sampling: a robust, self-tuning MCMC method for posterior inference.
Last synced: 24 Oct 2024
https://github.com/lacerbi/neurobench
Benchmark of derivative-free optimization algorithms applied to models in cognitive and neural science.
benchmark cognitive-science computational-neuroscience modeling optimization
Last synced: 24 Oct 2024
https://github.com/lacerbi/infbench
Benchmark of posterior and model inference algorithms for (moderately) expensive likelihoods.
approximate-inference benchmark computational-neuroscience model-selection modeling
Last synced: 24 Oct 2024
https://github.com/lacerbi/mexxer
Template/interface generator for C code from MATLAB functions.
Last synced: 24 Oct 2024
https://github.com/lacerbi/multiess
Multivariate effective sample size (mESS) of Markov chain in MATLAB.
Last synced: 24 Oct 2024
https://github.com/lacerbi/modelwork
MATLAB suite for model building and model fitting.
Last synced: 24 Oct 2024
https://github.com/lacerbi/bads
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB (old location)
bayesian-optimization log-likelihood matlab noiseless-functions noisy-functions optimization-algorithms
Last synced: 24 Oct 2024
https://github.com/lacerbi/padova2022-bayes
Tutorial on Bayesian model fitting with PyVBMC.
Last synced: 24 Oct 2024
https://github.com/lacerbi/nyu2023-bayes
Tutorial on Bayesian model fitting with (Py)VBMC.
bayesian-inference matlab model-fitting python
Last synced: 24 Oct 2024
https://github.com/lacerbi/gofit
Compute absolute goodness of fit via entropy estimation
entropy estimator goodness-of-fit
Last synced: 24 Oct 2024
https://github.com/lacerbi/ibl-2020-tutorial
Tutorial on computational modeling and statistical model fitting part of the IBL Computational Neuroscience course (2020).
Last synced: 24 Oct 2024
https://github.com/lacerbi/cosmo-2017-tutorial
Tutorial on optimization and model fitting held at the CoSMo 2017 summer school.
Last synced: 24 Oct 2024
https://github.com/lacerbi/cosmo-2018-tutorial
Tutorial on optimization and model fitting held at the CoSMo 2018 summer school.
Last synced: 24 Oct 2024
https://github.com/lacerbi/marglike
Computation of the marginal likelihood from MCMC output
Last synced: 24 Oct 2024
https://github.com/lacerbi/intro-modeling-psych-2018
Materials for an intro workshop to modeling and model fitting in psychophysics and neuroscience
Last synced: 24 Oct 2024
https://github.com/lacerbi/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)
bayesian-inference data-analysis gaussian-processes machine-learning matlab variational-inference
Last synced: 24 Oct 2024
https://github.com/lacerbi/bayescausinf-models
Models of visuo-vestibular Bayesian causal inference
Last synced: 24 Oct 2024
https://github.com/lacerbi/ibs
Inverse binomial sampling for efficient log-likelihood estimation of simulator models (old location)
likelihood-free log-likelihood matlab pyhton sampling simulation-model
Last synced: 24 Oct 2024
https://github.com/lacerbi/comprob
Compatibility probability of measurements across experiments
compatibility experiments posterior-probability subjects
Last synced: 24 Oct 2024