PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

Bayesian Data Analysis course at Aalto

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A playbook for systematically maximizing the performance of deep learning models.

Reading list for research topics in multimodal machine learning

An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.

Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)

😎 A curated list of awesome real-world adversarial examples resources

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

A curated list of awesome resources for semantic understanding of aerial scene