An awesome list: AI for art and design.
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Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
Maschinelle Sprachgebrauchsanalyse - Grundlagen der Korpuslinguistik provides AI-assisted learning, courses, tutorials, or study support.
TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Mathos AI provides AI-assisted learning, courses, tutorials, or study support.
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
Melies supports software development with code generation, analysis, debugging, or documentation.
Memory-oriented tooling for AI agents, focused on persistent context, recall, and more structured long-term memory behavior.
MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
A Python module for metric learning.
Metric Learning Algorithms in Python.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
Microsoft Azure provides AI-assisted learning, courses, tutorials, or study support.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Documentation for MiniMax, covering setup, features, and practical usage.
Overview of MiniMax AI models and their capabilities.
Self-updating documentation for startups, enterprises, and agents.
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.