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sidingli's Projects

imbalanced-semi-self icon imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

keras-mmoe icon keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

kerasgru4rec icon kerasgru4rec

Keras implementation of GRU4Rec session-based recommender system

locales icon locales

:earth_americas: a set of locales generated from the CLDR Project which can be used independently or within an i18n package; these were built for use with, but not exclusive to https://github.com/go-playground/universal-translator

ml-nlp icon ml-nlp

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。

nlp_ability icon nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

note-cs icon note-cs

This repository contains some notes and materials that I took while learning some CS courses.

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

pygru4rec icon pygru4rec

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

python icon python

some of Jay's shared python codes

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)

pytorch_practice icon pytorch_practice

这是我学习 PyTorch 的笔记对应的代码,点击查看 PyTorch 笔记在线电子书

recommend-system-tf2.0 icon recommend-system-tf2.0

原理解析及代码实战,推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴,给个star支持一下吧!🚀 有任何疑问欢迎提 issues,也可加文末的联系方式向我询问!

sdm icon sdm

Sequential deep matching model for recommender system at Alibaba

tech_aarticle icon tech_aarticle

深度学习各种模型实战-深度学习模型在各大公司实际生产环境的应用讲解文章,涉及到搜索(Query理解,召回,排序)/推荐(召回,排序)/自然语言处理(文本分类,文本相似度判定,文本匹配,文本生成,命名体识别)

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-2.x-tutorials icon tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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