Open-source alternatives to Programming Quotes Api

This project is a community-driven knowledge base that archives historical statements and insights from influential technology leaders. It functions as a reference library designed to preserve the intellectual history of the information technology field and the evolution of computing philosophy. The repository utilizes a static, flat-file data structure formatted in markdown, which eliminates the need for complex database management or server-side runtime environments. By leveraging a version control system, the project maintains a complete audit trail of all additions and editorial changes,

40ANTS-MCP is a framework for building Model Context Protocol servers in Common Lisp

برای آدمیزاد LLM آموزش / Teaching LLM in Persian

Rig is a framework for building large language model applications, featuring a multi-provider client and a workflow builder for retrieval-augmented generation systems. It serves as an orchestrator for creating autonomous agents that can maintain conversation state and execute complex tasks through custom prompting and plugins. The project provides standardized interfaces for both completion and embedding model providers, allowing for unified request and response patterns across different engines. It also includes a vector database integration layer that defines a common interface for indexing

This project is a comprehensive, community-driven knowledge repository that serves as a centralized hub for data science resources. It provides a structured index of educational materials, software packages, and professional development tools designed to support both students and practitioners in navigating the data science landscape. The repository distinguishes itself through a hierarchical taxonomy that organizes a vast collection of external links into a human-readable, markdown-based document. By relying on distributed contributions, the project maintains an up-to-date snapshot of the fi

Behavior Tree Starter Kit

Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources

Awesome TensorFlow.js - A curated list of dedicated resources to master TensorFlow.js

Build AI (or any) apps with scalable microservices & microfrontends.

Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying neural networks across distributed systems, mobile devices, and hardware accelerators. It functions as a cross-platform runtime and a dynamic dataflow scheduler that optimizes neural network execution. The framework provides a multi-language API, enabling the development of machine learning models using Python, R, Julia, Scala, Go, and JavaScript. It supports high-performance model training and the scaling of workloads across multiple GPUs and machines. The system covers cap

This project is a serverless service that generates dynamic, themeable visual summaries of software development activity. It functions as an automated metadata visualizer, transforming raw platform logs and repository metrics into resolution-independent vector graphics that can be embedded directly into markdown environments. The service distinguishes itself by offering highly configurable, query-parameter-driven rendering that allows users to customize the visual presentation of their coding patterns, language proficiency, and repository details. It supports both real-time generation via ser

Curated list: Resources for machine learning in Ruby

DocsGPT is a retrieval-augmented generation platform and private knowledge base used to build AI agents that perform grounded search and analysis. It functions as a multi-model AI orchestrator and enterprise agent builder, allowing for the integration of various local and cloud language models to customize reasoning and text generation. The project provides a visual environment for developing automated assistants using conditional logic and third-party API connectivity. It enables the creation of private AI agents capable of performing enterprise search and detailed document analysis using pr

A Common Lisp client for the Chroma vector database

A Common Lisp LLM completions library

A Common Lisp embeddings library

Crate for Embedings and Positional Encoding (Rust) (Q2:2025)

AI agent runtime for Rust — type-safe state, multi-protocol serving, plugin extensibility.

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

MLIR Toolkit in Elixir and Zig.

OpenLLM is a framework for deploying, managing, and scaling open-source large language models

Rust library for OpenAI