generative-ai

📓 A collection of generative AI open-source repositories that are actively being developed. If you are looking to build a solid profile and land interview, find the repo you like and start shipping.

ComfyUI nodes and tested workflows for MiniMax H3 still-image generation, reference editing, and Qwen detail refinement.

Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadashy)

um is a GPT-powered CLI assistant. Ask questions in plain English, get the perfect shell command.

MaineCoon: Pursuing a Real-Time Audio-Visual Social World Model — technical report & project links. 🌐 https://mainecoon.tech/

The better way to build AI agents in TypeScript.

🎨 Multiplatform AI image generation app powered by Stable Diffusion • Built with Kotlin Multiplatform & Compose • Supports SDXL, FLUX, SD3 & more • Native performance via C++/JNI • Android/iOS & Desktop ready

Easy fine-tuning for Qwen3-TTS: Fast voice cloning and high-quality multilingual speech synthesis.

Top 10 Claude Prompt Optimization Frameworks 2026

Best Prompt Engineering Tools for 2026 AI Workflow Optimization

[3DV 2026] Reflect3r: Single-View 3D Stereo Reconstruction Aided by Mirror Reflections

[NeurIPS 2023] PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

Welcome to AgentGenesis, your source for customizable Gen AI code snippets that you can easily copy and paste into your applications.

Examples and tutorials for building AI applications with watsonx.ai Flows Engine

AgentSmithy provides a series of tools and templates that simplify the process of building and deploying custom AI agents on Google Cloud.

Up-to-Date Content: We regularly update our repository with new courses, articles, and tutorials to keep pace with the rapidly evolving field of AI.

A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.

AI World Generator 2026: Create Self-Evolving Maps & Stories

Historical multi-model Backrooms experiment with configurable conversation templates and example transcripts.

This project aim to share the knowledge and code concerning generative models, including: GAN, Diffusion, VAE.