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A curated list of deep learning image classification papers and codes
A curated list of deep learning resources for computer vision
A curated list of awesome resources for adversarial examples in deep learning
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 Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
The main features of amusi/awesome-object-detection are: Awesome List, Curated Research Lists, Neural Network Architectures.
Projects with overlapping indexed features include: weiaicunzai/awesome-image-classification — A curated list of deep learning image classification papers and codes. kjw0612/awesome-deep-vision — A curated list of deep learning resources for computer vision. fritzlabs/awesome-mobile-machine-learning. 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…