Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

Massively parallel training of machine-learning based weather and climate models

An rtl-sdr receiver for Itron ERT compatible smart meters operating in the 900MHz ISM band.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A Python package providing buffer compression and transformation codecs for use in data storage and communication applications.

Convolutional Neural Networks

Unsupervised single image depth prediction with CNNs

Starting files for the CarND behavioral cloning project (P3)

Classify Traffic Signs.

Images and notebook for camera calibration

Guide to deploying deep-learning inference networks and realtime object recognition tutorial for NVIDIA Jetson TX1.