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Anthropic’s developer API for the Claude family of large language models, offering chat, vision, tool-use and agentic capabilities.

LightRAG is an open-source framework designed for simple and fast Retrieval-Augmented Generation (RAG), integrating knowledge graphs, vector search, and efficient LLM-based processing to enhance question-answering over large document collections.

Learn how to use Cursor, an AI-powered code editor designed to make software development faster and more efficient.

nanochat is a full-stack, minimal codebase for training, fine-tuning, evaluating, and deploying a ChatGPT-like large language model (LLM) from scratch on a single 8xH100 GPU node for under $100.

A cloud-based API that lets developers integrate OpenAI’s cutting-edge language, image, and audio models into their own products via simple RESTful endpoints.

Claude Quickstarts is a collection of projects by Anthropic to help developers quickly build deployable applications using the Claude API. It includes quickstarts for a customer support agent, financial data analyst, computer use demo, and autonomous coding agent, demonstrating Claude's capabilities in natural language processing, data analysis, computer control, and automated coding.

CC-Switch is a cross-platform desktop application serving as an all-in-one assistant for Claude Code, Codex, and Gemini CLI. It unifies management of provider configurations, MCP servers, Skills extensions, and system prompts, enabling seamless switching between AI APIs, latency testing, import/export, and full lifecycle handling for MCP and Skills.

High-level, multi-backend deep-learning API for building, training and deploying neural-network models.

A lightweight open-source platform for running, managing, and integrating large language models locally via a simple CLI and REST API.

Gemini API lets developers call Google’s multimodal Gemini family of large language models—covering text, vision, audio and video—to generate, analyze and transform content in their own applications.

Open-source framework that accelerates fine-tuning and full training of transformer LLMs by up to 30 × while cutting VRAM requirements by roughly 90 %, letting developers train custom models quickly on commodity GPUs.

NumPy is the fundamental package for scientific computing in Python. It provides a powerful N-dimensional array object, broadcasting operations, linear algebra, FFT, random number capabilities, and integration with C/C++/Fortran, and serves as a core building block for many AI and scientific libraries.