Google Research

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

unet for image segmentation

A small package to create visualizations of PyTorch execution graphs

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…

3D U-Net model for volumetric semantic segmentation written in pytorch

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Python package for reading, and extracting data from rosbag files and performing any analysis on it.

Exploring using stdpar and Cython

Running PDEs on graph

Small example on how to interact between Python and C++ using Open3D

Tool to convert VDB grids to numpy arrays.