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A curated list of awesome resources about multimodal recommender systems.
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.
A framework for large scale recommendation algorithms.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
🚀🚀🚀feapder is an easy to use, powerful crawler framework | feapder是一款上手简单,功能强大的Python爬虫框架。内置AirSpider、Spider、TaskSpider、BatchSpider四种爬虫解决不同场景的需求。且支持断点续爬、监控报警、浏览器渲染、海量数据去重等功能。更有功能强大的爬虫管理系统feaplat为其提…
Almost state of art text generation library
NEZHA: Neural Contextualized Representation for Chinese Language Understanding
Overview of Artificial Intelligence - Yuwei Yin (Joey)
Library containing PyTorch implementations of various adversarial attacks and resources
AutoPhrase: Automated Phrase Mining from Massive Text Corpora
Speech Recognition using DeepSpeech2.
Modify Chinese text, modified on LaserTagger Model. 文本复述,基于lasertagger做中文文本数据增强。
使用torch整合两种经典的指针NER抽取范式,分别是SpanBert和苏神的GlobalPointer,简单加了些tricks,配置后一键运行
flink learning blog. http:https://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去…
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