ELKI is an open source data mining software written in Java. It focuses on research in algorithms, emphasizing unsupervised methods in cluster analysis and outlier detection, and offers data index structures for performance and scalability. It is designed for researchers and students to extend.
go-dnn
go-dnn is a GitHub repository that provides deep neural network functionality for the Golang programming language, powered by MXNet. The repository notes an updated version of the project is hosted at a separate GitHub location.
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0ELKI is an open source data mining software written in Java. It focuses on research in algorithms, emphasizing unsupervised methods in cluster analysis and outlier detection, and offers data index structures for performance and scalability. It is designed for researchers and students to extend.
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0Claygent is Clay's AI web scraper used for enrichment in Clay. Unlike traditional enrichment providers that return static database results, it browses websites and reads pages to return insights, addressing last mile data that is too niche for data providers. Company enrichment requires a company domain, and people enrichment requires a LinkedIn profile URL.
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0A hands-on, project-based introduction to programming with Python by Eric Matthes, published in its third edition in December 2022. The book covers basic concepts such as variables, lists, classes, and loops, and guides readers through projects including a Space Invaders-inspired arcade game, data visualizations, and a simple web application.
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0QuestDB is an open-source time-series database engineered for low latency. It uses a column-oriented, time-partitioned storage engine with memory-mapped files and vectorized execution for high-throughput ingestion and millisecond-level analytical queries. SQL is extended with time-series operators such as SAMPLE BY, LATEST ON, ASOF JOIN, WINDOW JOIN and HORIZON JOIN.
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0An 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.
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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.
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