Pinned Repositories
2019-Autumn-recruitment-experience
2019届秋招面经集合
algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
AutoInt
Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Awesome-Neural-Logic
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。
Deep-Autoencoders-For-Collaborative-Filtering
Using Deep Autoencoders for predictions of movie ratings.
FIFA-worldcup-2018-prediction
Using Machine Learning to predict the winner of the 2018 FIFA World Cup.
pix2pix-pytorch
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
zhiyongwu2015's Repositories
zhiyongwu2015/algorithm-base
专门为刚开始刷题的同学准备的算法基地，没有最细只有更细，立志用动画将晦涩难懂的算法说的通俗易懂！
zhiyongwu2015/AutoInt
Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
zhiyongwu2015/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
zhiyongwu2015/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
zhiyongwu2015/Awesome-Neural-Logic
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。
zhiyongwu2015/awesome-programming-books
计算机类专业经典书籍集合，Java、Scala、C/C++、算法、计算机基础、数学、英语等电子书以及互联网大厂技术峰会资料
zhiyongwu2015/causalml
Uplift modeling and causal inference with machine learning algorithms
zhiyongwu2015/CTR_Algorithm
一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,DIN, DIEN ... （pytorch, tf2.0）
zhiyongwu2015/daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
zhiyongwu2015/deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
zhiyongwu2015/Deep-Learning-for-Causal-Inference
Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
zhiyongwu2015/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
zhiyongwu2015/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
zhiyongwu2015/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
zhiyongwu2015/GBDT_LR
广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践（附数据 + 代码）
zhiyongwu2015/leetcode-master
LeetCode 刷题攻略：配思维导图，100+经典算法题目刷题顺序、经典算法模板、共40w字的详细图解，以及难点视频题解。按照刷题攻略上的顺序来刷题，让你在算法学习上不再迷茫！🔥🔥给个star支持一下吧！🚀
zhiyongwu2015/Multi-Head-Attention-with-TF2
Implementation of Multi Head Attention Block with example in TF2
zhiyongwu2015/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
zhiyongwu2015/pytorch_image_classification
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
zhiyongwu2015/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
zhiyongwu2015/Reco-papers
Classic papers and resources on recommendation
zhiyongwu2015/Recommendation-system-model
zhiyongwu2015/Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
zhiyongwu2015/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"
zhiyongwu2015/Resent-50-from-scratch-for-multi--label-image-classification
kaggle competition iMet Collection 2019 Classify the multi-‐label images classification according to their given label using a ResNet50 . build the model from the scratch
zhiyongwu2015/rl-starterpack
zhiyongwu2015/Tianchi-AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge
zhiyongwu2015/uplift_model_notes
uplift模型业界应用总结
zhiyongwu2015/vpncn.github.io
2021**翻墙软件VPN推荐以及科学上网避坑，稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件，**最新科学上网翻墙梯子VPN下载推荐。
zhiyongwu2015/x-deeplearning
An industrial deep learning framework for high-dimension sparse data