Documentation for Claude Prompts, covering setup, features, and practical usage.
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Documentation for Docs, covering setup, features, and practical usage.
Many useful features that aren't part of the main nn package.
Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
Documentation for Fine Tuning Guide, covering setup, features, and practical usage.
AI gateway and marketplace for developers, enables streamlined integration of AI features into products.
Documentation for Grit, covering setup, features, and practical usage.
Topaz Labs: AI Image Quality Software: "professional grade workflow, with many features" (this is an affiliate link by nejcsusec.beehiiv.com).
Documentation for LearnPrompting, covering setup, features, and practical usage.
Documentation for LLM Evaluation Clarifai Guide, covering setup, features, and practical usage.
Meta's AI assistant for chat, image generation, search-style answers, and social platform features.
Documentation for Miku, covering setup, features, and practical usage.
Documentation for MiniMax, covering setup, features, and practical usage.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Documentation for SillyTavern, covering setup, features, and practical usage.
Python library for automatic extraction of relevant features from time series.
Documentation for Tune, covering setup, features, and practical usage.
Enriches training datasets with features from public and community shared data sources.
Documentation for Weights & Biases (Prompts), covering setup, features, and practical usage.
SQL/NoSQL/Graph/Cache/Object data explorer with AI-powered chat + other useful features.
Documentation for Z.AI Developer Platform, covering setup, features, and practical usage.