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Tilting estimators for program evaluation for Python 3
A tutorial in impact encoding for categorical features
python implementation of Peng Ding's "First Course in Causal Inference"
A curated list of causal inference libraries, resources, and applications.
Simulation for Data Science with R by Packt Publishing
A A/B Testing Challenge on Software Pricing
A tutorial for setting a new machine with core data science tools
Natural Gradient Boosting for Probabilistic Prediction
UpliftML: A Python Package for Scalable Uplift Modeling
Tools to Design or Visualize Architecture of Neural Network
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
A data augmentations library for audio, image, text, and video.
A collection of modern/faster/saner alternatives to common unix commands.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
End-to-end neural table-text understanding models.
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Deep Learning for Time Series Classification
A Python package to assess and improve fairness of machine learning models.
Notebooks configured to be run with Binder, usually found on my blog.
Fit interpretable models. Explain blackbox machine learning.
A collection of notebooks for Natural Language Processing