Pinned Repositories
iMap4
iMap4 - Spatial mapping of eye movement data (e.g., fixation map) using Linear Mixed Models
advance-bayesian-modelling-with-PyMC3
All-that-likelihood-with-PyMC3
Bayesian-Cognitive-Modeling-in-Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
GLMM-in-Python
Generalized linear mixed-effect model in Python
Planet_Sakaar_Data_Science
A colourful collection of codes and notebooks, like Planet Sakaar
PrecisionWorkshop1_Prep
Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
pymc
Bayesian Modeling and Probabilistic Programming in Python
pymc-resources
PyMC educational resources
junpenglao's Repositories
junpenglao/advance-bayesian-modelling-with-PyMC3
junpenglao/GLMM-in-Python
Generalized linear mixed-effect model in Python
junpenglao/Bayesian-Cognitive-Modeling-in-Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
junpenglao/All-that-likelihood-with-PyMC3
junpenglao/PrecisionWorkshop1_Prep
Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
junpenglao/Planet_Sakaar_Data_Science
A colourful collection of codes and notebooks, like Planet Sakaar
junpenglao/functionalbayes
A Functional Programming Approach to Composable Bayesian Workflow
junpenglao/modelselection_tutorial
Tutorial on model assessment, model selection and inference after model selection
junpenglao/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
junpenglao/arviz
Python package to plot and analyse samples from probabilistic models
junpenglao/blackjax
BlackJAX is a sampling library designed for ease of use, speed and modularity.
junpenglao/bambi
BAyesian Model-Building Interface (BAMBI) in Python.
junpenglao/blackjax-feedstock
A conda-smithy repository for blackjax.
junpenglao/junpenglao.github.io
my mental roadtrip
junpenglao/kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
junpenglao/keras-docs-zh
Chinese (zh-cn) translation of the Keras docs.
junpenglao/limo_eeg
in development version of the software
junpenglao/prob-stats
Probability and Statistics: a simulation-based introduction. An open-access book.
junpenglao/probability
Probabilistic reasoning and statistical analysis in TensorFlow
junpenglao/pymc
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
junpenglao/pymc4_prototypes
Experimental code for porting PyMC to alternative backends
junpenglao/pysaliency
Python Framework for Saliency Modeling and Evaluation
junpenglao/python3_with_pleasure
A short guide on features of Python 3
junpenglao/sampling-book
Tutorials and sampling algorithm comparisons
junpenglao/SPAFV
SPAFV - Surface Profile Analysis for Free Viewing eye movement experiment in 2AFC task
junpenglao/stan
Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
junpenglao/statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
junpenglao/sympy
A computer algebra system written in pure Python
junpenglao/tensorflow
Computation using data flow graphs for scalable machine learning
junpenglao/webmc3
A web interface for exploring PyMC3 traces