LLM（2ページ目）

The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.

TypeScript-first schema validation with static type inference

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Making large AI models cheaper, faster and more accessible

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

An open-source engine that turns continuous content streams into search and monitoring. Durable ingestion, hybrid search, alerts, and plugins for formats, models and business rules.

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

A modular graph-based Retrieval-Augmented Generation (RAG) system

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

Integrate cutting-edge LLM technology quickly and easily into your apps

Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.

Opinionated paranoid text spacing in JavaScript, with on-device AI semantic judgment

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Open-source inference server and production cluster for all the models your agent needs.