Popular GitHub Repositories for Literature Review

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

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Must-read Papers on LLM Agents.

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

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

Instant AI code reviews

Deep Learning for Time Series Classification

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.

A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4o, gpt-4-turbo, gpt-3.5-turbo model) and automatically installs a git prepare-commit-msg hook.

A collaboratively written review paper on deep learning, genomics, and precision medicine

Paper reading notes on Deep Learning and Machine Learning

TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, chatbots and more

Must-read Papers on Knowledge Editing for Large Language Models.

AI Code Reviewer: Enhance your GitHub workflow with AI-powered code review! Get intelligent feedback and suggestions on pull requests using OpenAI's GPT-4 API, improving code quality and saving developers time.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text-to-SQL) techniques in the literature and provide practical guidance for researchers and practitioners. If we missed any interesting work, feel free to contact us.

A curated list of adversarial attacks and defenses papers on graph-structured data.

Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.