A curated list of awesome resources for adversarial examples in deep learning
The main features of chbrian/awesome-adversarial-examples-dl are: Awesome List, Curated Research Lists.
Open-source alternatives to chbrian/awesome-adversarial-examples-dl include: fritzlabs/awesome-mobile-machine-learning. matthewvowels1/awesome-video-generation — A curated list of awesome work on video generation and video representation learning, and related topics. fepegar/awesome-medical-imaging — Awesome list of software that I use to do research in medical imaging. awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… datamllab/awesome-fairness-in-ai — A curated list of awesome Fairness in AI resources. subeeshvasu/awesome-image-distortion-correction — A curated list of resources on handling Rolling Shutter effects and Radial Distortions.
A curated list of awesome Fairness in AI resources
Awesome list of software that I use to do research in medical imaging.
This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a centralized reference point for researchers, developers, and data scientists to locate reliable information sources across a wide spectrum of industries and scientific fields. By providing a structured index, the repository facilitates the discovery of data necessary for exploratory analysis, machine learning model training, and the development of data-intensive applications. The directory distinguishes itself through a lightweight, platform-agnostic approach to resource indexing that