Popular GitHub Repositories for Gspread Asyncio

Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

Python Client for Copilot (formerly named Bing Chat), also known as Sydney.

Smart Python Agent Development Environment

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

Automated prompt-based testing and evaluation of Gen AI applications

GenAI Processors is a lightweight Python library that enables efficient, parallel content processing.

This is ChatGPT, DALL·E, Stable Diffusion python-telegram-bot with cryptocurrency payments. It allows you to generate images and chat with ChatGPT.

Supercharge your async applications with tasks so fast, you’ll think you’re bending time itself.

Fully automatic asynchronous AI operated Twitter bot using Large Language Models through OpenAI and Hugging Face to schedule and generate contextual content.

AsyncIO serving for data science models

A synchronous and asynchronous API wrapper for the UberDuck text-to-speech service (https://uberduck.ai) with 100% coverage and top-notch utilities.

Declarative AI Pipelines

MLup is framework for easy and fast run ML in production

A Python-based solution for solving Google's reCAPTCHA v2 challenges efficiently (3-12 seconds solve time). The script supports both synchronous and asynchronous operations, with API endpoints for easy integration. Uses audio challenge method with speech recognition for reliable solving.

Idiomatic way to build chatgpt apps using async generators in python

A Dockerized RSS feed fetcher for NLP work, using asyncio

Integration of the advanced llama2 AI model with Telegram to provide real-time chatbot responses. Seamless interaction, smart replies, and scalable deployment.

Scale your ML workers asynchronously across processes and machines