mldlx's repositories
RecSys
计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
pytorch-tutorials-examples-and-books
PyTorch1.0 tutorials, examples and some books I found 【更新中...】整理的PyTorch 1.0 最新版教程、例子和书籍
Ad-papers
Papers on Computational Advertising
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
learning-apache-spark
Notes on Apache Spark (pyspark)
optimal-binning
compute best number of bins for a histogram
cnn-lstm-bilstm-deepcnn-clstm-in-pytorch
In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
pytorch-best-practice
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM)
Quora
Kaggle: Quora Insincere Questions Classification - detect toxic content to improve online conversations
Wide-ResDNN
Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
Erlemar.github.io
Data science portfolio
stopwords
中文常用停用词表（哈工大停用词表、百度停用词表等）
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
kaggle-web-traffic
1st place solution
User-loan-risk-prediction
马上AI全球挑战者大赛 rank 1st
feature-engineering-book
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
QH_FInSight
国内首个迁移学习赛题 **平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
MLBox
MLBox is a powerful Automated Machine Learning python library.
click-through-rate-prediction
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
PyTorchText
1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
word2vec-pytorch
Extremely simple and fast word2vec implementation with Negative Sampling + Sub-sampling
feature-engineering-for-ml-zh
:book: [译] 面向机器学习的特征工程
Monotonic-WOE-Binning-Algorithm
A variable binning algorithm that optimizes information value (IV) monotonicity and representativeness; a Python implementation based on a research paper.
scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.