nchopin / py-smc2Links
Automatically exported from code.google.com/p/py-smc2
☆14Updated 10 years ago
Alternatives and similar repositories for py-smc2
Users that are interested in py-smc2 are comparing it to the libraries listed below
Sorting:
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆12Updated 2 years ago
- Package to Train LANs (Likelihood approximation networks)☆13Updated last week
- Matlab interface to Stan, a package for Bayesian inference☆85Updated 2 years ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Updated last year
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆88Updated 4 months ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆33Updated 2 years ago
- Development of HSSM package☆105Updated last week
- Python Package which collects simulators for Sequential Sampling Models☆17Updated this week
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- Code for Psychology 253☆17Updated 5 years ago
- Textbook on Bayesian Data Analysis for Cognitive Science, Nicenboim, Schad, Vasishth☆17Updated last week
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Tools related to analyzing eye tracking data from cogntive sciences experiments☆16Updated last year
- Pythonic interface to R's brms☆45Updated 3 years ago
- This is a community-driven collection of resources around amortized inference.☆50Updated last year
- Run adaptive decision making experiments☆16Updated 4 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 8 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Updated last year
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.☆10Updated 3 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 4 years ago
- ☆56Updated 3 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆29Updated last year
- Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design☆10Updated 6 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆78Updated last year
- Reaction Time Distributions - An Interactive Overview☆44Updated 4 years ago
- ☆12Updated 6 years ago
- A drift-diffusion modeling (DDM) framework for Python☆104Updated last month