tarmojuristo's Stars
yangheng95/PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
ddangelov/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
pymc-devs/pymc-experimental
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
rmcelreath/rethinking
Statistical Rethinking course and book package
estnltk/estnltk
Open source tools for Estonian natural language processing
arnaudmiribel/streamlit-extras
Discover, try, install and share Streamlit re-usable bits we call "extras"!
tsrobinson/cjbart
Heterogeneous effects analysis of conjoint experiments using BART
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
pycaret/pycaret
An open-source, low-code machine learning library in Python
pymc-devs/pymc-resources
PyMC educational resources
bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
pollsposition/models
Forecasting 🇫🇷 elections with Bayesian statistics 🥳
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
aloctavodia/Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
markdregan/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
CSSLab/social-dimensions
Data and code accompanying the Nature paper "Quantifying social organization and political polarization in online platforms"