jldbc / Tensorflow_ML_Algorithms
Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression
☆54Updated 8 years ago
Alternatives and similar repositories for Tensorflow_ML_Algorithms:
Users that are interested in Tensorflow_ML_Algorithms are comparing it to the libraries listed below
- Movie recommendation project using wide and deep learning☆31Updated 8 years ago
- Examples of how to do feature engineering and Xgboost parameter tuning☆46Updated 8 years ago
- FFM implement with tensorflow by Python☆60Updated 7 years ago
- Classic recommendation algorithms implementation☆42Updated 3 years ago
- Keras Implementation for "Deep & Cross Network for Ad Click Predictions"☆93Updated 3 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 6 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- Deep structured semantic model☆32Updated 8 years ago
- ☆27Updated 7 years ago
- convert DataFrame to libffm data format in parallel☆30Updated 6 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- Tensorflow2.x implementations of CTR(LR、FM、FFM)☆72Updated 3 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆102Updated last year
- pairwise learning to rank with logistic regression☆19Updated 8 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831☆87Updated 6 years ago
- A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition☆36Updated 6 years ago
- This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardi…☆52Updated 6 years ago
- In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…☆32Updated 5 years ago
- ☆14Updated 6 years ago
- 第三届魔镜杯大赛, 智能客服聊天机器人真实数据, 提高智能客服的识别能力和服务质量☆38Updated 6 years ago
- A simple DeepFM.☆101Updated 6 years ago
- Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation☆20Updated 7 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆130Updated 5 years ago
- python metric functions, such as MAP, NDCG, AUC...☆10Updated 10 years ago
- simple multi-class GBDT☆15Updated 10 years ago
- [Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11☆93Updated 6 years ago
- 对电影进行多标签标注☆18Updated 10 years ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆145Updated 8 years ago
- 2018腾讯社交广告33名;☆22Updated 6 years ago