Agentic Document Extraction (ADE), from your terminal. The ade command drives LandingAI's ADE v2 document APIs — parse turns visually complex documents (tables, figures, charts) into grounded markdown and elements; extract pulls schema-shaped fields with page-and-box evidence — and persists everything it produces in a local store (~/.ade), serving every read from it.
RouteLLM is a framework for serving and evaluating LLM routers. [Blog ] [Paper ] Our core features include: From PyPI From source Let's walkthrough replacing an existing OpenAI client to route queries between LLMs instead of using only a single model.
MASFactory is a graph-centric framework for orchestrating Multi-Agent Systems with Vibe Graphing: Start from intent, generate a graph design, preview and refine it in a visual environment, compile it into an executable workflow, and trace node states, messages, and shared state at runtime. Turn natural-language intent into a structural design, then iteratively converge to an executable, reusable workflow.
NotaGen is a symbolic music generation model that explores the potential of producing high-quality classical sheet music. Inspired by the success of Large Language Models (LLMs), NotaGen adopts a three-stage training paradigm: Check our demo page and enjoy music composed by NotaGen!
Optimize websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. This tool optimizes for where traffic is going, not where it was.
) Docs · Playground · LandingAI The official Python library for the LandingAI Agentic Document Extraction (ADE) API. Parse PDFs and images into structured, grounded Markdown, then extract typed fields with a JSON Schema or Pydantic model.
A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.
----- 2026 Update: Prophet is in maintenance mode as of v1.4.0. Only bug fixes, dependency bumps, and changes to the R package to meet parity with Python will be accepted.
Demo 🎶 | 📑 Paper HeartMuLa-oss-3B-happy-new-year 🤗 | HeartMuLa-oss-3B-happy-new-year --- HeartMuLa is a family of open sourced music foundation models including: 1. HeartMuLa: a music language model that generates music conditioned on lyrics and tags with multilingual support covering almost all languages.
GeoCalib is an algorithm for single-image calibration: it estimates the camera intrinsics and gravity direction from a single image only. By combining geometric optimization with deep learning, GeoCalib provides a more flexible and accurate calibration compared to previous approaches.
We introduce MOVA (MOSS Video and Audio), a foundation model designed to break the "silent era" of open-source video generation. Unlike cascaded pipelines that generate sound as an afterthought, MOVA synthesizes video and audio simultaneously for perfect alignment.
MedSegDiff is a Diffusion Probabilistic Model (DPM) based framework for the Segmentation and Reconstruction of organs/tissues from the medical images. The algorithm is elaborated on our paper MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer.
You can chat with this custom ChatGPT to figure out what's going on! The Autonomous AI Lab discord for the ACE Framework and HAAS Project is now open: https://discord.gg/mJKUYNm8qY This is first and foremost a high velocity hacking group.
A self-contained image bundles the tool + the Claude Code and Codex CLIs. You log in once and the sessions persist in named volumes — no re-login on later runs.
This solution accelerator is an internal chatbot that interprets and understands context and direction from creative briefs to create multi-modal text and image content for marketing ad campaigns. Built on the Microsoft Agent Framework with HandoffBuilder orchestration, it uses specialized AI agents to parse briefs, research product data, generate content, and validate brand compliance.
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡ [[Tech Report]](assets/llmzoo.pdf) technology gifted by the creator. For example, many pioneers have made great efforts to spread the use of light bulbs and vaccines to developing countries.
2025.12.09 Support Z-Image Turbo Standalone training is now supported. For details, please refer to the Standalone Environment Setup Repository.
This repo contains the official implementation for AudioSeal, a method for efficient audio watermarking, with state-of-the-art robustness and detector speed. [arXiv] [🤗Hugging Face] [Colab Notebook] [Webpage] [Blog] [Press] AudioSeal introduces a novel audio watermarking using ocalized watermarking and a novel perceptual loss.
Most quant frameworks stop at "here's your backtest result." You get a number, maybe a chart, and then you're on your own figuring out which strategy variant is actually better, whether the result is robust across time windows, and how to go from research to production. Features Strategy Definition Declare what data your strategy needs and when to buy or sell as a TradingStrategy subclass — the framework wires up data loading, signal evaluation, order execution, position mana
A comprehensive tutorial on the Python Pandas library, updated to be consistent with best practices and features available in 2024. The tutorial can be watched here The code that is walked through in the tutorial is in tutorial.ipynb To get started with Pandas locally, you can follow these steps to set up your environment and clone the recommended repository.