PrivacyRaven is a privacy testing library for deep learning systems. You can use it to determine the susceptibility of a model to different privacy attacks; evaluate privacy preserving machine learning techniques; develop novel privacy metrics and attacks; and repurpose attacks for data provenance and other use cases.
Skills: Python, PyTorch Lightning, IBM ART, Scikit-learn, NumPy, Poetry, Git
Deep Learning Training
This was a training repository made for the RoboJackets RoboNav team. It is intended to be a quick crash course in practical machine learning and deep learning. At the end of README, there is a larger list of trusted resources for further training.
Skills: Python, PyTorch, Catalyst, NumPy, Scikit-learn, Jupyter Notebooks
Resources: GitHub Repository