Survival analysis in Python

Bayesian Modeling and Probabilistic Programming in Python

A Python-embedded modeling language for convex optimization problems.

Topics on theoretical, mathematical aspects of DL

Code samples for my book "Neural Networks and Deep Learning"

Social Poisson Factorization

Recurrent Neural Network that predicts word-by-word

megaman: Manifold Learning for Millions of Points

Topic Modelling for Humans

Data files for the book Elegant SciPy

Text mining using tidy tools ✨📄✨

Julia AutoDiff

The PSL software from the University of Maryland and the University of California Santa Cruz

Figaro Programming Language and Core Libraries

R package for parasitic behavior and social learning simulations

Statistical Rethinking course and book package

scikit-learn: machine learning in Python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Topic modeling with latent Dirichlet allocation using Gibbs sampling

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

PyStan, the Python interface to Stan

Apache Spark - A unified analytics engine for large-scale data processing

Code to accompany Advanced Analytics with Spark from O'Reilly Media

Models and examples built with TensorFlow

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.