Open-source alternatives to Anse

برای آدمیزاد LLM آموزش / Teaching LLM in Persian

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

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

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

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

Subtitles generation tool (Web-UI CLI Python package) powered by OpenAI's Whisper and its variants

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

Agent Zero is an autonomous AI agent framework designed to execute complex, multi-step workflows by managing its own environment, persistent memory, and external tool interactions. It functions as a Python-based automation library that enables agents to write code, execute terminal commands, and perform system-level tasks independently. The system is built to handle large-scale operations through hierarchical agent delegation, allowing for the coordination of subordinate agents to maintain focus and context. The platform distinguishes itself through a focus on secure, isolated execution and s

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

Rust library for OpenAI

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

A GPU (CUDA) based Artificial Neural Network library

This project is a web-based user interface for interacting with large language models via API keys. It functions as an OpenAI API client and a general LLM web chat interface, allowing users to send prompts and receive responses through a private web portal. The application features a security layer with password-based access control to restrict public usage. It supports custom request routing and proxy configurations to bypass network restrictions, and it is available as a progressive web app for native-like installation on mobile devices. The interface includes rich text rendering for Markd

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

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

Curated list: Resources for machine learning in Ruby

Behavior Tree Starter Kit

assistant-ui is a React interface framework and component kit designed for building conversational user interfaces for artificial intelligence services. It provides a collection of reusable components to render chat windows and interaction histories that connect to large language model backends. The framework uses a composable architecture and a provider pattern to decouple UI components from specific backend implementations. Visual customization is handled through a CSS-variable theming system, while adapter-based integration standardizes different API responses into a consistent format for

A Common Lisp client for the Chroma vector database

A Common Lisp LLM completions library

A Common Lisp embeddings library

A Common Lisp port of @karpathy microgpt.py — the most atomicimplementation of a GPT with a hand-written scalar autograd engine.