Popular GitHub Repositories for Account Abstraction

The Abstraction and Reasoning Corpus

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

Unofficial API Wrapper for Perplexity.ai + Account Generator with Web Interface

The AutoGPT MetaTrader Plugin is a software tool that enables traders to connect their MetaTrader 4 or 5 trading account to Auto-GPT.

Build agents that scale with a zero-cost abstraction.

Build agents that scale with a zero-cost abstraction.

Abstraction Library for Parallel Kernel Acceleration :llama:

Python script to download public Tweets from a given Twitter account into a format suitable for AI text generation.

iMA Menu - Do File Transfers, Remove Background, Video/Image edit, Draw over apps, Youtube & X downloader, Resize, Video to Gif, MP4 to MP3, Clean Temp... and more from your CONTEXT MENU.

Reset Cursor MachineID & Auto Sign Up New Account with Cursor Pro // 自动注册 Cursor AI (免费使用Pro功能) & 自动重置机器ID // You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro. We have this limit in place to prevent abuse. Please let us know if you believe this is a mistake.

A reverse engineered Python API wrapper for the Vercel AI Playground, which provides free access to many large language models without needing an account.

Python library for automated email account creation. Create multiple accounts easily with support for major email providers.

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

A Discord chatbot / selfbot that allows users to talk to AI powered by Groq API which uses Meta Llama-3 or use your own ChatGPT API key. The AI runs on a genuine Discord account, not a bot account and so it can be put in any server without any permissions! Try it out at: https://discord.gg/yUWmzQBV4P

Open-source Intelligent Customer Service System. An alternative to Intercom, Zendesk, Salesforce Service Cloud etc.

Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.

This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.

Natural Language Application Development (NLAD) - A methodology for building applications by leveraging LLMs to create higher levels of abstraction in software development.

Agentic abstraction layer for building high precision vertical AI agents written in python. Middleware for Model Context Protocol.

A Pythonic integration for LLMs.