Machine Learning

Flower provides a federated AI framework for machine learning projects.

Startup Daily covers Australian and New Zealand technology startups, with news and analysis of the regional ecosystem.

Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.

Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.

The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources.

An open-source initiative, Virgilio guides learners through data science resources and skill development.

SimTK shares simulation tools, models, and projects for biomedical research.

StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.

Eurybia tracks model drift and validates data during machine learning model deployment.

neuropredict evaluates predictive performance using neuroimaging features.

Composio connects AI agents with SaaS apps through MCP or direct APIs, offering access to more than 20,000 tools.

Learn about large language models with Hands-On Large Language Models, an illustrated guide featuring more than 275 figures.

SciRuby promotes Ruby tools for scientific computing and data visualization.

BeeSift turns webpages and articles into goal-aligned bullet points, helping readers focus on information relevant to their goals.

TPOT uses genetic programming to optimize machine learning pipelines in Python.

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

quanteda provides R tools for textual data, including corpora, tokens, and document-feature matrices.

InterpretML fits interpretable models and explains results from black-box machine learning systems.

NOMAD supports materials scientists in managing and sharing their research data with others.

REP provides an IPython-based machine learning environment for consistent, reproducible data-driven research.

For parallel computing in Python, Dask extends familiar tools to handle larger workloads.

Rasa provides an open source framework for automating text and voice conversations, including chatbots and voice assistants.

A web page listing filenames that pair anime character names with programming and computer science book titles.

Deep-ML provides hands-on exercises in machine learning and data science fundamentals.