Stars
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Companion webpage to the book "Mathematics For Machine Learning"
YSDA course in Natural Language Processing
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A scikit-learn compatible neural network library that wraps PyTorch
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Data and methodology for the Big Mac index
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Natural Intelligence is still a pretty good idea.
Experimental PyMC interface for TensorFlow Probability. Official work on this project has been discontinued.
machine learning with logical rules in Python
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.rea…
Visualizations and helpers to improve and debug machine learning models for Rasa Open Source
Hierarchical Uniform Manifold Approximation and Projection
Joy is a tiny creative coding library in Python.
Opinionated provides simple, clean stylesheets for plotting with matplotlib and seaborn.
A workshop on data privacy methods for data scientists.
bayesian graphical modelling and a bit of do-calculus for discrete data.
A mixture density network, by PyTorch, for scikit-learn
Slides and materials for my PyMCon talk