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ravensterspinti's Projects

avalonia icon avalonia

Develop Desktop, Embedded, Mobile and WebAssembly apps with C# and XAML. The most popular .NET Foundation community project.

awesome-gptlike-shellsite icon awesome-gptlike-shellsite

深入探索精选的套壳站和必备API资源。本文为初学者和经验丰富的运营者提供一站式指南,涵盖常见问题解答和基础攻略,助您迈向套壳站副业成功之路。Dive into a curated selection of shell sites and essential APIs. This article offers a comprehensive guide for both beginners and seasoned operators, covering FAQs and basic strategies to propel you towards success in your shell site side hustle.

comfyui-3d-pack icon comfyui-3d-pack

An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)

core icon core

:house_with_garden: Open source home automation that puts local control and privacy first.

llmcompiler icon llmcompiler

LLMCompiler: An LLM Compiler for Parallel Function Calling

mlx icon mlx

MLX: An array framework for Apple silicon

multimodal-maestro icon multimodal-maestro

Effective prompting for Large Multimodal Models like GPT-4 Vision or LLaVA. 🔥

namada icon namada

Rust implementation of Namada, a Proof-of-Stake L1 for interchain asset-agnostic privacy

phidata icon phidata

Build AI Assistants using function calling

pkl icon pkl

A configuration as code language with rich validation and tooling.

reactive-resume icon reactive-resume

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

reor icon reor

AI note-taking app that runs models locally.

rye icon rye

a Hassle-Free Python Experience

social-app icon social-app

The Bluesky Social application for Web, iOS, and Android

superduperdb icon superduperdb

🔮 SuperDuperDB: Bring AI to your database: Integrate, train and manage any AI models and APIs directly with your database and your data.

uv icon uv

An extremely fast Python package installer and resolver, written in Rust.

visual_anagrams icon visual_anagrams

Code for the paper "Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models"

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