Marsontu Github

Emily Johnson

-Mar 15, 2026, 4:27 PM

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Contact GitHub support about this user’s behavior. Learn more about reporting abuse. 2020上半年超长寒假呆家学习了半年C语言(大一下)的时候写的一些小游戏/小程序，那时候觉得用C从零开始模拟一些东西挺有趣，就没有参考其他教程或者游戏，通过自己思考用基础语法写出了这些写代码，规范性只能说是相当于我大一的标准，欢迎分享，学习和交流 There was an error while loading.

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A Start.me of all the top Start.me OSINT Resources. Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Contact GitHub support about this user’s behavior. Learn more about reporting abuse. There was an error while loading.

Please reload this page. This project has not set up a SECURITY.md file yet. You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs. You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Automate your workflow from idea to production GitHub Actions makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Hosted runners for every major OS make it easy to build and test all your projects. Run directly on a VM or inside a container. Use your own VMs, in the cloud or on-prem, with self-hosted runners.

Save time with matrix workflows that simultaneously test across multiple operating systems and versions of your runtime. GitHub Actions supports Node.js, Python, Java, Ruby, PHP, Go, Rust, .NET, and more. Build, test, and deploy applications in your language of choice. The Mouse Action Recognition System (MARS) is a deep learning based system for automated pose estimation and social behavior classification. It combines a trio of tools: MARS was trained using 15,000 video frames manually annotated for animal pose, and 14 hours of video manually annotated for multiple social behaviors of interest.

To quantify inter-annotator variability in behavior identification, we also collected manual annotations of social behaviors from eight trained individuals on a collection of 10 videos (over 1.5 hours) of interacting mice. We have made all three datasets publicly available under a Creative Commons noncommercial license CC BY-NC 4.0. The datasets are hosted by the Caltech library, and can be downloaded from the Datasets page. If you make use of MARS or the MARS training data, please cite the following reference in any publications: The Mouse Action Recognition System (MARS): a software pipeline for automated analysis of social behaviors... (2020) Segalin, C., Williams, J., Karigo, T., Hui, M., Zelikowsky, M., Sun, J.J., Perona, P., Anderson, D.J., and Kennedy, A. bioRxiv 2020.07.26.222299 link | bibtex

For question about the software and the dataset please contact Ann Kennedy [ann.kennedy[at]northwestern.edu] or Cristina Segalin [segalin.cristina[at]gmail.com].

Marsontu Github

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