Junpeng Lao's repositories
GLMM-in-Python
Generalized linear mixed-effect model in Python
Bayesian-Cognitive-Modeling-in-Pymc3
PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
PrecisionWorkshop1_Prep
Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling
Planet_Sakaar_Data_Science
A colourful collection of codes and notebooks, like Planet Sakaar
functionalbayes
A Functional Programming Approach to Composable Bayesian Workflow
modelselection_tutorial
Tutorial on model assessment, model selection and inference after model selection
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.
blackjax-feedstock
A conda-smithy repository for blackjax.
junpenglao.github.io
my mental roadtrip
kalman-jax
Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
keras-docs-zh
Chinese (zh-cn) translation of the Keras docs.
prob-stats
Probability and Statistics: a simulation-based introduction. An open-access book.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
pymc4_prototypes
Experimental code for porting PyMC to alternative backends
pysaliency
Python Framework for Saliency Modeling and Evaluation
python3_with_pleasure
A short guide on features of Python 3
sampling-book
Tutorials and sampling algorithm comparisons
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
tensorflow
Computation using data flow graphs for scalable machine learning