Stars
Bare-bones diffusion model code
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
TODS: An Automated Time-series Outlier Detection System
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Repository containing notebooks of my posts on Medium
An open-source, low-code machine learning library in Python
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.
A unified framework for machine learning with time series
Personal repository of data science demonstrations and references
Survival analysis built on top of scikit-learn
An intuitive library to add plotting functionality to scikit-learn objects.
YSDA course in Natural Language Processing
A python library for decision tree visualization and model interpretation.
🤖⚡ 50 scikit-learn tips
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
📊 Path to a free self-taught education in Data Science!
https://harvard-iacs.github.io/2019-CS109A/
Feature selector is a tool for dimensionality reduction of machine learning datasets
machine learning with logical rules in Python
scikit-learn compatible implementation of stability selection.
Python implementations of the Boruta all-relevant feature selection method.