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A full-lifecycle AI research agent for automating idea development, implementation, experimentation, paper writing, submission, rebuttal, and iterative refinement.
Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documen…
gitster / git
Forked from git/gitGit - the stupid content tracker - This is a publish-only "broken out" repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvem…
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
gitster / git.github.io
Forked from git/git.github.ioGit Developer Site
Lightweight coding agent that runs in your terminal
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
Point autoDoc at any code repository and get an interactive documentation site — automatically.
Pytorch domain library for recommendation systems
An AGENT system for automating the upgrade of the technical stack, for example, upgrading a front-end project from Vue 2 to Vue 3
Agent skills / plugins developed by myself, if you think it's useful, please give me a star.
MLNLP: Notes for MIT-Linear-Algebra
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Compendium of over 50 benchmarks for evaluating AI agents, categorized into Function Calling & Tool Use, General Assistant & Reasoning, Coding & Software Engineering, and Computer Interaction.
[ACMMM 2024 Honourable Mention Award] PyTorch implementation of HAP-VR, introduced in "Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval".
Muon is an optimizer for hidden layers in neural networks
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
yaochao1986 / ResearchEveryDay
Forked from NotCraft/ArxivDailyArxivDaily
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training