A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A guidance language for controlling large language models.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

"Probabilistic Machine Learning" - a book series by Kevin Murphy

Book about interpretable machine learning

A computer science textbook

Beaker Extensions for Jupyter Notebook

Structured state space sequence models

Text and code for the second edition of Think Bayes, by Allen Downey.

fklearn: Functional Machine Learning

USC urban data science course series in Python

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Course materials for: Geospatial Data Science

A simple & elegant experiment tracking framework that integrates persistence logic & best practices directly into Python

Named Tensor implementation for Torch

Epidemic Modeling for Everyone

Documentation of all collective action from tech workers.

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Python library that represents empirical distribution functions.

Code for the paper: "No Zero-Shot Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance" [NeurIPS'24]

Poisson blending of images

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Apple array system

A collection of tools for DJs (CUEs conversion, Flac testing, downloads)

SPatial INTeraction Models (spint)

An investigation of disparate outcomes in internet deals across 38 major cities in the United States.

A simple adversarial attack on a linear model