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alex.smola.org

A personal blog by Alex Smola titled Adventures in Data Land, covering machine learning topics. Entries include efficient LLM inference tutorials, random projections, effective sample size, voice agents and evaluation, and porting MXNet to Blackwell and Apple Silicon. Posts reference events such as the Machine Learning Summer School 2026 in NYC.

AI Data & Analytics 0
johnsnowlabs.com

Annotation Lab, referenced in its 4.10 release notes as NLP Lab 4.10, is a platform from John Snow Labs for annotation tasks. The 4.10 release added features including in-app trial license generation, enhanced commenting and tagging for labeling pages, improved task export filters, a video template for project content types, and fixes for visual NER task export JSON formatting.

AI Coding & Development 0
getdesign.md

getdesign.md is a collection of DESIGN.md files containing independent design system analyses of popular websites. These files serve as design references for AI coding agents to ensure consistent visual styling across AI-built projects. It offers a catalog of over 550 public DESIGN.md files, private DESIGN.md creation services, and website and mobile app starter kits.

AI Coding & Development 0
json-schema.org

JSON Schema is a declarative language for annotating and validating JSON documents' structure, constraints, and data types. It enables JSON data consistency, validity, and interoperability, and has a tooling ecosystem of validators, generators, and linters. Documentation covers schema design, guides, and keyword reference.

AI Data & Analytics 0
pandas.pydata.org

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. It is described as a data analysis and manipulation tool built on top of Python. Documentation, a user guide and an API reference are available.

AI Data & Analytics 0
centre-for-humanities-computing.github.io

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.

AI Education & Learning 0