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.
TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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).
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.
免费在线 Meta 分析工具,5 分钟从数据到森林图。支持 OR/RR/HR/MD/SMD,生成森林图、漏斗图,无需 R 或 Stata。Free online meta-analysis tool with forest plot generator.
A Python module for metric learning.
Metric Learning Algorithms in Python.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
C, C++, and Python tools for named entity recognition and relation extraction.
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
Machine learning and numerical analysis tools for Node.js and the Browser!
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.
A library consisting of useful tools for data science and machine learning tasks.
Multidimensional cluster generation in MATLAB/Octave.
Visual testing tool for MCP servers.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.