Behr's starred repositories
yt-semantic-search
OpenAI-powered semantic search for any YouTube playlist โ featuring the All-In Podcast. ๐ช
nft-minting-website-example
Example website with NFT Minting Features
openai-cookbook
Examples and guides for using the OpenAI API
openai-whatsapp-chatbot
A chatbot app that uses OpenAI's GPT and DALL-E to reply to incoming messages from WhatsApp and generate images
Mubert-Text-to-Music
A simple notebook demonstrating prompt-based music generation via Mubert API
yt-whisper
Using OpenAI's Whisper to automatically generate YouTube subtitles
InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion
A latent text-to-image diffusion model
CLIP-Guided-Diffusion
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
hashlips_art_engine
HashLips Art Engine is a tool used to create multiple different instances of artworks based on provided layers.
openseaSalesBot-old
A sales bot for the opensea api
scaffold-eth
๐ forkable Ethereum dev stack focused on fast product iterations
openzeppelin-contracts
OpenZeppelin Contracts is a library for secure smart contract development.
SwiftLocation
โ๏ธ Async/Await CLLocationManager Wrapper for Apple Platforms
WikiLocation
WikiLocation - A geolocation based wikipedia app written in Swift
FacialRecognition
This is just a small project using the iOS 8 SDK, Swift, CoreImage and draw "moustache" to photo.
Gesture-Recognition-101-CoreML-ARKit
Simple project to recognize hands in realtime. ๐ Serves as an Example for building your own object recognizer.
Live-Object-Recognition-CoreML
This contains iOS template project that can be used to run your own CoreML Object Detection Model