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A curated list of awesome resources for adversarial examples in deep learning
A curated list of awesome Fairness in AI resources
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
Awesome list of software that I use to do research in medical imaging.
The main features of fritzlabs/awesome-mobile-machine-learning are: Awesome List, Curated Research Lists, Machine Learning Frameworks, Perception and Machine Learning.
Projects with overlapping indexed features include: fepegar/awesome-medical-imaging — Awesome list of software that I use to do research in medical imaging. matthewvowels1/awesome-video-generation — A curated list of awesome work on video generation and video representation learning, and related topics. chbrian/awesome-adversarial-examples-dl — A curated list of awesome resources for adversarial examples in deep learning. datamllab/awesome-fairness-in-ai — A curated list of awesome Fairness in AI resources. awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… subeeshvasu/awesome-image-distortion-correction — A curated list of resources on handling Rolling Shutter effects and Radial Distortions.