Pinned Repositories
Ad-papers
Papers on Computational Advertising
AFN-AAAI-20
Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
als_cython
awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
deap
Distributed Evolutionary Algorithms in Python
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,Deep Session Interest Network(DSIN)
fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
glob
Go glob
jieba
结巴中文分词
zhegeliang2's Repositories
zhegeliang2/ParaDance
Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
zhegeliang2/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
zhegeliang2/fun-rec
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
zhegeliang2/neuralsort
Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.
zhegeliang2/LibMTL
A PyTorch Library for Multi-Task Learning
zhegeliang2/minet
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
zhegeliang2/awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
zhegeliang2/MultiObjectiveOptimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
zhegeliang2/SpaceVim
A community-driven modular vim distribution - The ultimate vim configuration
zhegeliang2/vimrc
The ultimate Vim configuration: vimrc
zhegeliang2/AFN-AAAI-20
Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions
zhegeliang2/Ad-papers
Papers on Computational Advertising
zhegeliang2/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
zhegeliang2/tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
zhegeliang2/deap
Distributed Evolutionary Algorithms in Python
zhegeliang2/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
zhegeliang2/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,Deep Session Interest Network(DSIN)
zhegeliang2/RSPapers
Must-read papers on Recommender System.
zhegeliang2/nmt
TensorFlow Neural Machine Translation Tutorial
zhegeliang2/tianchi
天池一些比赛个人尝试
zhegeliang2/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
zhegeliang2/MachineLearning-1
Machine learning resources
zhegeliang2/MachineLearning
Machine Learning in Action（机器学习实战）
zhegeliang2/book
All programming languages books
zhegeliang2/pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
zhegeliang2/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
zhegeliang2/Stanford-CS-229-CN
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
zhegeliang2/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
zhegeliang2/rbm_cf
rbm collaborative filtering
zhegeliang2/als_cython