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GitHub - D-X-Y Awesome-AutoDL: Automated Deep Learning: Neural . . . Awesome AutoDL A curated list of automated deep learning related resources Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awesome-deep-learning-papers, and awesome-architecture-search Please feel free to pull requests or open an issue to add papers
AutoDL-GPU租用平台使用体验如何? - 知乎 使用体验上,AutoDL可以通过ssh和jupyter,基本上和我访问实验室服务器的方式一样,所以用起来还是很方便的。 我一般习惯使用git同步代码,使用jupyter Lab在云端先进行调试,之后在代码最后加上os system ('shutdown'),然后使用nohup挂在后台运行,代码运行完就会自动
GitHub - Auto-DL Auto-DL: Auto-DL helps you make Deep Learning models . . . Building deep learning models may take a lot of time But not with AutoDL Automate your meta-work so that you can focus on building your models without the hassle of writing code Use our interactive model builder and AI powered suggestion system to quickly whip out a working DL model Trained your model for multiple hours and found out that it's bugged? Not anymore With AutoDL's AI
GitHub - D-X-Y AutoDL-Projects: Automated deep learning algorithms . . . Automated Deep Learning Projects (AutoDL-Projects) is an open source, lightweight, but useful project for everyone This project implemented several neural architecture search (NAS) and hyper-parameter optimization (HPO) algorithms