Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice…

Make text LLMs listen and speak

Audio deepfake detection sytem on CNN

Visualizer for neural network, deep learning and machine learning models

Making docling agentic through MCP

Demonstration of a MCP proxy pattern, from stdio to IAM auth calls to agentcore

A model-driven approach to building AI agents in just a few lines of code.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

Accessible large language models via k-bit quantization for PyTorch.

ComfyUI native implementation of IC-Light

code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction

This model converts a single still image into a coherent video sequence with consistent, realistic motion. <metadata> gpu: T4 | collections: ["Diffusers"] </metadata>

Discomfort: Control ComfyUI with Python

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A Structured Output Framework for LLM Outputs

The Cloudformation Templates guides the users to setup a codepipeline in Account-A, CodeCommit in Account-B and Deployment of a Sample Lambda in Account-C. Provides a reference for customers to use…

Produce Word Document, CSV or SQLite transcriptions using the automatic speech recognition from AWS Transcribe.

Stable Diffusion web UI

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

Stable Diffusion WebUI extension for CLIP Interrogator

Image to prompt with BLIP and CLIP

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

🦜🔗 The platform for reliable agents.

StableLM: Stability AI Language Models

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A library for helping developers craft prompts for Large Language Models

Website to showcase Azure AI and community initiatives.