DAGs with NO TEARS: Continuous Optimization for Structure Learning

Probabilistic Mission Design using Hybrid Probabilistic Logic for Unmanned Aerial Vehicles.

A machine learning toolkit dedicated to time-series data

A python library for user-friendly forecasting and anomaly detection on time series.

DeepSQA repo for the paper "DeepSQA: Understanding Sensor Data via Question Answering"

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

A simplified implementation of EinsumNetworks in PyTorch.

HumanML3D: A large and diverse 3d human motion-language dataset.

rclpy (ROS Client Library for Python)

Self-supervised contrastive learning for time series via time-frequency consistency

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch tutorials.

The website for PyTorch

Normalizing flows in PyTorch

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

Differentiable fast wavelet transforms in PyTorch with GPU support.

The can package provides controller area network support for Python developers

This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially o…

The fundamental package for scientific computing with Python.