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

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

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

Markdown renderer for Kotlin Multiplatform Projects (Android, iOS, Desktop), using Compose.

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

The official implementation of the paper "Human Motion Diffusion as a Generative Prior"

A simplified implementation of EinsumNetworks in PyTorch.

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

Uniform Manifold Approximation and Projection

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.

TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

The website for PyTorch

Normalizing flows in PyTorch

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

Machine learning metrics for distributed, scalable PyTorch applications.

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…

Graph Neural Network Library for PyTorch

My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.

The fundamental package for scientific computing with Python.

Code for Gym documentation website