黄佳恒 (jiahenghuang)

jiahenghuang

Geek Repo

Location:深圳

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黄佳恒's repositories

person-coding-intution

这是90%以上由本人写的一个完整项目,代码已经废弃不再使用,但暂且代表着本人的工程能力吧,虽然很多代码还不够pythonic,还有一些改进空间

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QuantitativeInvestment

基金聚类分析

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TechXueXi

学习强国 xuexiqiangguo 全网最好用学习强国助手:TechXueXi (懒人刷分工具 自动学习)技术强国,下载地址:https://github.com/TechXueXi/TechXueXi/releases

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Ad-papers

Papers on Computational Advertising

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bert_distill

BERT distillation(基于BERT的蒸馏实验 )

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CIKM-2019-AnalytiCup

2019-CIKM挑战赛,超大规模推荐之用户兴趣高效检索赛道 冠军解决方案

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dl_inference

通用深度学习推理服务,可在生产环境中快速上线由TensorFlow、PyTorch、Caffe框架训练出的深度学习模型。

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ECommerceRecommendSystem

基于spark的商品推荐系统

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Fooling-LIME-SHAP

Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)

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jstarcraft-example

基于JStarCraft RNS引擎,Spring Boot框架和公共数据集搭建的千人千面演示项目. 系统会根据用户的行为记录,自动调整用户的推荐内容和搜索内容.使用者可以通过该项目了解*推荐系统*与*搜索系统*的运作流程. 涵盖了个性化推荐与个性化搜索2个部分.

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KnowledgeDistillation

Knowledge distillation in text classification with pytorch. 知识蒸馏,中文文本分类,教师模型BERT、XLNET,学生模型biLSTM。

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Machine-Learning-With-Go

Machine Learning With Go, published by Packt

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maotai

Forked from zqjzqj/mtSecKill

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Model-Interpretation

Overview of different model interpretability libraries.

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prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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qa_match

A simple effective ToolKit for short text matching

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RecBole

A unified, comprehensive and efficient recommendation library

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RecommendSystem

recommend different person different item!

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sentence-transformers

Sentence Embeddings with BERT & XLNet

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SparrowRecSys

A Deep Learning Recommender System

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taobao_seckill

淘宝、天猫半价抢购,抢电视、抢茅台,干死黄牛党

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Tencent2020_Rank1st

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

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text_sim_bob

bob text sim

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two_sentences_classifier

Bert分类,语义相似度,获取句向量。

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vmaf

Perceptual video quality assessment based on multi-method fusion.

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word2vec_SIF_cosineSimilarity

This project simulates an intelligent question and answer system. In a web demo, users can input a question and the system will return similar questions together with their similarities and their questions.

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