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Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Resources for cultural NLP research
Repository for the NeurIPS 2024 paper "SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge"
LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案
An open-source implementation for training LLaVA-NeXT.
Computer Science fan's notes and blog, mostly about data structure and algorithm, also include other related topics: behavior question, object-oriented design, system design, database SQL and found…
Implementation and Dataset for the paper "Compositional Substitutivity of Visual Reasoning for Visual Question Answering" (ECCV 2024)
😎 up-to-date & curated list of awesome 3D Visual Grounding papers, methods & resources.
📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A tool for extracting plain text from Wikipedia dumps
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。
Neural question generation using transformers
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
fast python port of arc90's readability tool, updated to match latest readability.js!
Tools to download and cleanup Common Crawl data
A standalone version of the readability lib
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".