#DALL-E

This project offers an implementation of OpenAI's DALL-E in Pytorch, providing text-to-image transformation capabilities with options for scalability and customization, including the use of pretrained VAE models and adjustable attention mechanisms. It includes CLIP integration for image generation ranking and supports training protocols like reversible networks and sparse attention.

ChatGPT Desktop Application delivers advanced AI features across multiple platforms, including Windows, Mac, iOS, Android, and Linux. It facilitates access to AI models such as GPT-3 and GPT-4, image generation via DALL-E, and sound recognition capabilities. Each chat can be individually configured, supports SVG display, and allows for API customization through custom headers. While initially not needing a VPN, it now requires one, with syntax highlighting available for multiple programming languages. Future updates are set to enhance mathematical formula display, Markdown support, and integrate more OpenAI functions. Built with Delphi 11.3+ and using modules like Skia and SVGImageList, this application exemplifies powerful AI use in a native client format.

The project enables smooth integration of Telegram with OpenAI technologies like ChatGPT, DALL·E, and Whisper, facilitating intelligent response and multimedia management. Key features include markdown support, image generation, audio transcription, and user management through budget tracking and advanced language options. Users can access the latest AI models such as GPT-4 Turbo and enhance functionality with plugins for services like weather and Spotify. With Docker compatibility, the bot is easy to deploy and use, offering a practical AI solution for interactive communication enhancement.

OpenAIKit is a community-maintained Swift SDK designed for smooth interaction with OpenAI's REST endpoint. It facilitates the integration of AI features, such as Dall-E for image generation and ChatGPT for conversational AI, into Swift applications. This SDK lowers integration barriers by following Swift's idiomatic practices. Key features include image variation generation, chat model access for completions, and audio transcription via Whisper. It is extensively tested on iOS, macOS, and other platforms, supporting innovation and enhancing user interaction.

The unofficial Go library for OpenAI API supports ChatGPT, GPT-3, GPT-4, DALL·E, and Whisper models, enabling integration of AI features such as text and image generation, and speech-to-text in Go applications. This library offers installation guides, usage examples, and key management for optimized programming.

AI-Auto-Video-Generator utilizes GPT-3, DALL-E, and ElevenLabs API to convert textual prompts into comprehensive videos. With configurable prompts, voiceovers, and video parameters, it simplifies video production within a Python setup.

Discover the Swift implementation of the OpenAI public API designed for AI integration in natural language processing, code generation, and image creation. The project offers features such as streaming completions, chat applications, and image production, emphasizing secure API access and backend support. It serves as a resource for developers seeking to utilize AI technology effectively, complete with installation and usage guidance.

liboai is an unofficial C++17 library that provides seamless access to OpenAI API endpoints, inspired by the structure of OpenAI's Python library. It includes features like ChatGPT, DALL·E, audio, and Azure, supporting asynchronous operations. The library depends on nlohmann-json and cURL, with recommended installation via vcpkg. It aims to offer a simple suite of methods for easy OpenAI integration and invites developer contributions to enhance and grow its functionalities.