ai-library

TOON — Laravel AI package for compact, human-readable, token-efficient data format with JSON ⇄ TOON conversion for ChatGPT, OpenAI, and other LLM prompts.

One API, any AI

Gemma4.pas is a high-performance AI inference engine developed entirely in Delphi to run Google’s Gemma 4 model natively on Windows. Unlike most platforms, this project features zero external dependencies and utilizes Vulkan compute shaders to accelerate complex mathematical operations directly on the user's GPU.

Nuclei AI Library Optimized For RISC-V Vector

😀 Utility-based AI library written in Haxe

A Bash Library for Ollama. Run LLM prompts straight from your shell, and more

Library for building generative AI applications with LLMs

Demonstration for Needs AI, a utility-based AI library written in Haxe

Classifier trained with 100 classes on unsplash images

Passionate about Neural Networks and AI? You'll love AGILib! ❤️ A Versatile Python Library and Platform, Tailor-made for Crafting Custom Neural Networks and Pioneering in General AI Development.

A Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making/EARCP: Ensemble Auto-Régulé par Cohérence et Performance

Polling library for OpenAI Threads API

Utility-based AI editor written in Haxe

Streamline your AI workflow with a unified, elegant interface for multiple AI providers 🚀

Open-source AI Framework for Rust

AI library designed to transform structured, technical, or machine-generated content into more natural, human-readable text.

Robust Go library designed to facilitate seamless integration and interaction with language models with model management, prompt generation, process monitoring, and version retrieval using Ollama.

Zuga = Theory of Everything

A provider-neutral C# library for text completion, chat, embeddings, tool execution, bounded Agents, and explicit Agent Harness composition.

Teams AI library is a Teams-centric interface to GPT-based common language models and user intent engines which, moderates the need for you to take on complex and expensive tasks of writing and maintaining conversational bot logic to integrate with large language models (LLMs).