yangxu97

yangxu97

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fjxm

#瑶瑶媛#媛紫#色面具白色黑色蓝色#陈苏#二院#牙子#泰国姐弟#咬兔子#台妹试镜#王小小#小青云#刀锋#足柔足交#福建兄妹#小马拉大车#暑假作业#小表妹#道全#小侄女#日本父#稀妹#包小瘦#家有双凤#铜锣烧#黄药师#黑皮猪#我本初中#指挥T#先生#西边的风#我要出彩#小咖秀#媲美欣#萌感#大Y摄影痴#迷#蘑菇#果肉剐#蹭#激萌#小丑熊#KK#中日试镜#白胖子#黄胖子#西伯利亚鼠#羚羊#绒羊猪#猪#伪娘美妖#惠奈酱#柠萌#赵恩静#安德#张思妮#美涵思涵#厕拍偷拍K#C全景#美罗城#咔嚓客#猪头全景#致青春#帝国#云上会#广东电子厂#吉祥三宝#私房鼎盛#撸射街射#天狼星#达叔#黑虎#校园贷借贷宝#ai换脸明星#明星PS图片#小说。

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fanqiang

翻墙-科学上网

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new-pac

翻墙-科学上网、自由上网、免费科学上网、免费翻墙、油管youtube、fanqiang、VPN、一键翻墙浏览器,vps一键搭建翻墙服务器脚本/教程,免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点,翻墙梯子,电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网

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ecoute

Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.

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hadoop_spark_movie_rec2024

计算机毕业设计PySpark+Hadoop知识图谱电影推荐系统 Django电影推荐系统 用户画像电影推荐系统 电影数据分析 电影可视化 电影爬虫 电影大数据 大数据毕业设计 大数据毕设 机器学习

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gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

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LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

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DICE

The official implementation of "Disentangling User Interest and Conformity for Recommendation with Causal Embedding" (WWW '21)

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ReChorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

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Recbole-Debias

RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.

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Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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NeuralLogicReasoning

An Implementation of NLR: Neural Collaborative Reasoning, paper: https://arxiv.org/abs/2005.08129

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Awesome-RSPapers

Recommender System Papers

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2021movie

电影推荐系统

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RSPapers

A Curated List of Must-read Papers on Recommender System.

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Dism-Multi-language

Dism++ Multi-language Support & BUG Report

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