Pinned Repositories
Ad-papers
Papers on Computational Advertising
competition-baseline
数据科学竞赛各种baseline代码、思路分享
CTRmodel
CTR prediction model based on spark(LR, GBDT, DNN)
CV_Project
CV projects for learning
Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
fullstack
React/ApolloGraphQL/Node/Mongo demo written in Typescript
gitignore
A collection of useful .gitignore templates
GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
ImageProcessing100Wen
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
jingfuzou's Repositories
jingfuzou/Ad-papers
Papers on Computational Advertising
jingfuzou/competition-baseline
数据科学竞赛各种baseline代码、思路分享
jingfuzou/CTRmodel
CTR prediction model based on spark(LR, GBDT, DNN)
jingfuzou/CV_Project
CV projects for learning
jingfuzou/Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
jingfuzou/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
jingfuzou/fullstack
React/ApolloGraphQL/Node/Mongo demo written in Typescript
jingfuzou/gitignore
A collection of useful .gitignore templates
jingfuzou/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
jingfuzou/ImageProcessing100Wen
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
jingfuzou/DeepNude-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用GAN图像生成的理论与实践研究。
jingfuzou/Latex_OCR_Pytorch
基于Pytorch实现的End-to-End图像Latex公式识别 inspire by LinXueyuanStdio/LaTeX_OCR_PRO
jingfuzou/Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
jingfuzou/opencv_tutorial
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
jingfuzou/QuantInvest
jingfuzou/Reco-papers
Classic papers and resources on recommendation
jingfuzou/SparrowRecSys
A Deep Learning Recommender System
jingfuzou/UGATIT
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
jingfuzou/UGATIT-pytorch
Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation