Popular GitHub Repositories for Review Page

The official GitHub page for the survey paper "A Survey of Large Language Models".

The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

Stunning status pages, batteries included!

Module for automatic summarization of text documents and HTML pages.

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Must-read Papers on LLM Agents.

Project Page for "LISA: Reasoning Segmentation via Large Language Model"

extendable code review and QA agent ?

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

Code review powered by LLMs (OpenAI GPT4, Sonnet 3.5) & Embeddings ?? Improve code quality and catch bugs before you break production ? Lives in your Github/GitLab/Azure DevOps CI

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

AI-based Pull Request Summarizer and Reviewer with Chat Capabilities.

A third-party ChatGPT Web UI page built with Express and Vue3, through the official OpenAI completion API. / 用 Express 和 Vue3 搭建的第三方 ChatGPT 前端页面, 基于 OpenAI 官方 completion API.

Instant AI code reviews

Deep Learning for Time Series Classification

Trench — Open-Source Analytics Infrastructure. A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events, page views. Easily build product analytics dashboards, LLM RAGs, observability platforms, or any other analytics product.

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

? Landing page UI components for React & Next.js, built on top of TailwindCSS

Review-Gate V2 is a powerful rule for the Cursor IDE that helps you get up to 5x more value from your monthly requests. It creates an interactive loop where the AI waits for your follow-up commands—via text, voice, or image upload—allowing you to perform deep, iterative work all within a single request.