Heights Platform is an AI online course creation and community software platform. It lets creators build and sell online courses, communities, coaching programs, and digital products, with unlimited videos and modules, lesson editor tools, drip feed, and payment plans via Stripe or PayPal. It also provides a website builder and landing pages.
Gym4ReaL
Gym4ReaL is an open-source GitHub repository maintained by Daveonwave. It is a Gymnasium-based benchmarking suite for testing reinforcement learning algorithms on real-world scenarios. The repository includes documentation on supported characteristics, reinforcement learning paradigms, folder structure, contribution guidelines, and licensing terms.
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0Heights Platform is an AI online course creation and community software platform. It lets creators build and sell online courses, communities, coaching programs, and digital products, with unlimited videos and modules, lesson editor tools, drip feed, and payment plans via Stripe or PayPal. It also provides a website builder and landing pages.
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0Data School is a blog about data science and machine learning. Its posts cover topics such as the difference between AI and machine learning, learning scikit-learn, AI progress, and using pandas for calculations. Posts are tagged by subject including Python, AI, and machine learning.
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Course materials and notes for the Stanford class CS231n: Deep Learning for Computer Vision. The notes accompany the Stanford CS class and cover topics organized in modules. Spring 2026 assignments are listed.
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0Deep Dream Generator is an AI image and video generation service. It offers 30+ AI models for text-to-image, video generation, and image editing, with no signup required to start creating. The site also hosts community creations, AI prompts, and a blog.
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0Remusic is a free AI music generator that creates full-length songs up to 4 minutes long in seconds. It also offers an AI cover generator supporting over 1,000 voices, an AI vocal remover for sound separation, an AI karaoke maker, an AI sheet music generator and a free AI music analyzer.
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MEKA is an open source implementation of methods for multi-label learning and evaluation, based on the WEKA Machine Learning Toolkit. It includes dozens of multi-label methods from the scientific literature and a wrapper to the MULAN framework. The project is distributed via SourceForge, with code hosted on GitHub.
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