awesome-list

The most complete, up-to-date comparison of AI image generation models — which model, via which API, at what price.

The most impactful papers related to contrastive pretraining for multimodal models!

Curated list of real‑world AGENTS.md files, templates, guides & tools for OpenAI Codex‑based agents.

A curated collection of AI video prompting resources, featuring official guides, prompt templates, cinematic techniques, and audio-visual synchronization methods for Veo, Sora, Runway, Pika, Kling, and other leading AI video tools.

Awesome UNet with Transformer

Explore a curated collection of exceptional open-source libraries for generative AI meticulously reviewed or slated for review by The AI Engineer. Contribute your own projects to be considered for evaluation and inclusion in this dynamic repository dedicated to advancing the AI engineering discipline.

A living map of the AI agent security ecosystem.

[CSUR'24] Multimodal Recommender Systems: A Survey

203 deep-dive tutorials for AI agents, LLM frameworks, coding tools, MCP, and open-source developer platforms

Make Claude talk like a human: 17 installable output styles for Claude Code, built on credited methodologies

A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.

AI Agent 从入门到实战 - 原创保姆级中文教学，不依赖框架从零构建Agent | 作者：青松与桑叶

LLM security and privacy

An awesome list of low- and no-code generative AI resources.

Curated, verified Agent Skills powered by ModelStudio.

Curated index of 200+ AI tools, one writeup per tool with hands-on takes. Covers coding, design, research, video, voice, agents, music, local LLMs. Compare alternatives, see real pricing, find the right tool for the job.

329 agent skills (Cursor, Claude Code & Codex), 5,380 OpenClaw skills, 201 ML notebooks, 9 textbooks, 82 research papers, 85 curated projects, 18 industry reports for PMs, Designers & Developers.

This repository lists some awesome public Rust projects, Videos, Blogs and Jobs.

114 source-backed /goal contracts for coding agents, plus 200 separated seed patterns.

Dory treats hosted LLM interfaces as disposable tools by offloading state to your local environment and enforcing atomic sessions.