RGI: Robust GAN-inversion for Mask-free Image Inpainting and Unsupervised Pixel-wise Anomaly Detection

Generative adversarial networks (GANs), trained on a large-scale image dataset, can be a good approximator of the natural image manifold. GAN-inversion, using a pre-trained generator as a deep generative prior, is a promising tool for image restoration under corruptions. However, the performance of GAN-inversion can be limited by a lack of robustness to unknown gross …

ML 10207 high level architecture

How VMware built an MLOps pipeline from scratch using GitLab, Amazon MWAA, and Amazon SageMaker

This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks. With terabytes of data generated by the product, the security analytics team focuses on building machine learning (ML) …

Where to Learn About AI for Climate Science

The climate is changing. This makes predicting the path of extreme-weather events, among other challenges, all the more difficult. AI powered by NVIDIA technology can help tackle such challenges in climate science and increase the accuracy of weather prediction. Dive deeper into AI for climate science at NVIDIA GTC, a global conference for the era …