Pinned Repositories
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100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
100-Days-of-ML-Code-Chinese-Version
Chinese Translation for Machine Learning Infographics
2018-CCF-BDCI-China-Unicom-Research-Institute-top2
2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案
DREAM
rnn based model for recommendations
FPMC
Python implementation of "Factorizing Personalized Markov Chains for Next-Basket Recommendation"
librec
LibRec: A Leading Java Library for Recommender Systems, see
NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems.
Sequential_Recommendation
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
binbinche's Repositories
binbinche/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems.
binbinche/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
binbinche/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
binbinche/Ad-papers
Papers on Computational Advertising
binbinche/advanced-java
😮 互联网 Java 工程师进阶知识完全扫盲
binbinche/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
binbinche/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
binbinche/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
binbinche/awesome-normalization-techniques
Papers for normalization techniques, released codes collections.
binbinche/awesome-self-supervised-learning-for-graphs
A curated list for awesome self-supervised learning for graphs.
binbinche/CS-Book
计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍
binbinche/CS-Notes
:books: 技术面试必备基础知识
binbinche/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
binbinche/dlrm
An implementation of a deep learning recommendation model (DLRM)
binbinche/GoogleSearchCrawler
a tool for crawl Google search results
binbinche/JavaGuide
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
binbinche/Leetcode
binbinche/Lihang
Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
binbinche/LiteratureDL4Graph
binbinche/nlp-journey
nlp相关的一些论文及代码, 包括LDA主题模型、词向量(Word Embedding)、命名实体识别(NER)、文本分类(Text Classificatin)、文本生成、文本相似性(Text Similarity)计算等，基于keras和tensorflow
binbinche/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
binbinche/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
binbinche/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
binbinche/pwc
Papers with code. Sorted by stars. Updated weekly.
binbinche/PyGCL
PyGCL: Graph Contrastive Learning Library for PyTorch
binbinche/Python-100-Days
Python - 100天从新手到大师
binbinche/Reco-papers
Classic papers and resources on recommendation
binbinche/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
binbinche/RSPapers
Must-read papers on Recommender System.
binbinche/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等