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The best way to build a personality for your agent. Let Claude Code / OpenClaw ingest your data & build your AI soul.
The world’s fastest framework for building websites.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Official style files for papers submitted to venues of the Association for Computational Linguistics
CHARGE: A Benchmark for Multimodal RAG via Chart-based Document Question-Answering Generation Framework
Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)
Maple Mono: Open source monospace font with round corner, ligatures and Nerd-Font icons for IDE and terminal, fine-grained customization options. 带连字和控制台图标的圆角等宽字体，中英文宽度完美2:1，细粒度的自定义选项
The Pytorch implementation of RESDSQL (AAAI 2023).
scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge
视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extracting hard-coded subtitle (hardsub) from videos and generating srt files.
Code release for "SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers" [NeurIPS D&B, 2024]
Let Silence Speak: Enhancing Fake News Detection with Generated Comments from Large Language Models, CIKM 2024.
Official Repository for "FakingRecipe: Detecting Fake News on Short Video Platforms from the Perspective of Creative Process", ACM MM 2024
Official repository for "FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms", AAAI 2023.
Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.
The source code for the schema filter (question + schema only)
一个计算机视觉、机器学习与深度学习相关的项目，看课程的笔记还有自己做的程序
Everything about note management. All in Zotero.
Serverless LLM Serving for Everyone.
Template for the Informatics Research Review
将Typora伪装成LaTeX的中文样式主题，本科生轻量级课程论文撰写的好帮手。This is a theme disguising Typora into Chinese LaTeX style.
在Feimax给的模板上变更了一些设计，使latex模板更贴近SAT301的word template.
Implementation of the model-agnostic meta-learning framework on CWRU bearing fault dataset to address cross-domain few-shot fault diagnosis problem.