Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Bayesian Analysis with Python (Second Edition)

Introduction to Statistical Modeling with Python (PyCon 2017)

Self-Supervised Noise Embeddings (Self-SNE)

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Trajectory Variational Autoencoder baseline for Multi-Agent Behavior challenge 2022

This repository contains the scripts for reproducing the results presented in Costa AC, Ahamed T, Jordan D, Stephens GJ (2023) "A Markovian dynamics for C. elegans behavior across scales" https://a…

Toolkit for trajectory data processing, network construction and analysis