A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
tweetopic is a Python library for topic modelling of Tweets and other short texts. Its documentation site provides an API reference and a usage guide covering installation, the Dirichlet Multinomial Mixture Model, the Biterm Topic Model, pipelines, visualization and model persistence.
This resource offers a downloadable, printable poster outlining 15 common data fallacies as part of data literacy lessons, with a monthly random giveaway for free mailed copies of the poster.
An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
Stanford CS336: Language Modeling from Scratch is the official course website for a Stanford class offered in Spring 2026. The course walks students through the process of developing a language model, including data collection and cleaning for pre-training, transformer model construction, model training, and evaluation before deployment. The site provides logistics, schedule, assignments, and course materials.
DataRobot is a unified agent workforce platform for enterprise use. It delivers AI applications and a platform designed to maximize AI impact and minimize business risk, supporting the building, operation, and governance of AI agents. Its offerings include foundational, business, and purpose-built agents, an agentic AI platform, generative AI and predictive AI tools, AI governance and observability features, and industry and function-specific agent solutions.
Animated AI is a project of animations and instructional videos about neural networks. Its topics cover convolution basics, padding, stride, grouped and depthwise-separable convolution, and pixel shuffle. It is licensed under the MIT License.
Community notes
Be the first to share how this project worked for you.
Sign in with a verified account to leave a review or join the discussion.
Sign in to reviewKeep exploring
tweetopic is a Python library for topic modelling of Tweets and other short texts. Its documentation site provides an API reference and a usage guide covering installation, the Dirichlet Multinomial Mixture Model, the Biterm Topic Model, pipelines, visualization and model persistence.
This resource offers a downloadable, printable poster outlining 15 common data fallacies as part of data literacy lessons, with a monthly random giveaway for free mailed copies of the poster.
An open source, MIT-licensed Python library imported as imblearn that relies on scikit-learn. It provides tools for classification with imbalanced classes. The documentation includes installation guides, a user guide, an API reference and a gallery of examples.
Stanford CS336: Language Modeling from Scratch is the official course website for a Stanford class offered in Spring 2026. The course walks students through the process of developing a language model, including data collection and cleaning for pre-training, transformer model construction, model training, and evaluation before deployment. The site provides logistics, schedule, assignments, and course materials.
DataRobot is a unified agent workforce platform for enterprise use. It delivers AI applications and a platform designed to maximize AI impact and minimize business risk, supporting the building, operation, and governance of AI agents. Its offerings include foundational, business, and purpose-built agents, an agentic AI platform, generative AI and predictive AI tools, AI governance and observability features, and industry and function-specific agent solutions.
Animated AI is a project of animations and instructional videos about neural networks. Its topics cover convolution basics, padding, stride, grouped and depthwise-separable convolution, and pixel shuffle. It is licensed under the MIT License.
