Popular GitHub Repositories for Ai Research

A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

Windows Agent Arena (WAA) ? is a scalable OS platform for testing and benchmarking of multi-modal AI agents.

An agent benchmark with tasks in a simulated software company.

List of AI Residency & Research programs, Ph.D Fellowships, Research Internships

Prompt Engineering Research Tool for AI APIs

Generate full fledged PDF reports using LLMs like GPT, Claude, Llama

利用大型语言模型进行自动化深度研究，包括网络搜索、论文解析和教学性摘要生成。

summaries of ai research

MCP Deep Research Server using Gemini creating a Research AI Agent

Research Paper Summaries, Setup & Performance Notes, Resource Links on AI, Deep Learning, NLP, Computer Vision for my learning.

Imaginary Artificial Intelligence —visualising my A.I. projects and research

An open source implementation of Mamba 2 in one file of pytorch

Transformers + Mambas + LSTMS All in One Model

A modular, multi-agent AI research and report generation platform. Enter any topic, and PolyAgent Research Intelligence orchestrates multiple AI agents to retrieve literature, analyze data, and generate a polished report. Built for researchers and AI/ML engineers, leveraging LangChain, FastAPI, PostgreSQL, advanced LLMs, and a Next.js front-end.

Inspired by Ilya Sutskever’s 2020 reading list to John Carmack, this repo reproduces and explores key AI papers, known as the "ilya30u30." Dive into detailed notes, code, and insights to deepen your understanding of foundational and advanced deep learning concepts.

AI_Research_Junction@Aditi_Khare - Research Papers Summaries Capturing Latest advancements in Generative AI, Quantum AI and Computer Vision

Multi Agent Deep Conversational Research Swarms

This project explores the integration of an episodic memory module into PyACTR. The goal is to enhance the agent's performance in language processing tasks that require context and pattern recognition.

Explore consciousness and self-awareness as it pertains to AI systems.