Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

Base classes for creating scikit-learn-like parametric objects, and tools for working with them.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

A unified framework for machine learning with time series

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

A curated list of gradient boosting research papers with implementations.

Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, and backpropagation.

PyTorch implementation of normalizing flow models

Selected ChatGPT demos, tools, articles, and more ✨

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan