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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
A curated list of awesome links and software libraries that are useful for robots.
A curated list of useful open-sound-control applications, libraries, resources and shiny things
A collection of research papers on decision, classification and regression trees with implementations.
The main features of ebertti/awesome-telegram are: Awesome List, Media & Communication, Awesome Lists.
Projects with overlapping indexed features include: awesomedata/awesome-public-datasets — This project is a community-maintained, open-access directory of high-quality public datasets. It serves as a… benedekrozemberczki/awesome-fraud-detection-papers — A curated list of data mining papers about fraud detection. amir-arad/awesome-osc — A curated list of useful open-sound-control applications, libraries, resources and shiny things. ahundt/awesome-robotics — A curated list of awesome links and software libraries that are useful for robots. benedekrozemberczki/awesome-decision-tree-papers — A collection of research papers on decision, classification and regression trees with implementations. benedekrozemberczki/awesome-monte-carlo-tree-search-papers — A curated list of Monte Carlo tree search papers with implementations.