bartgras / XGBoost-Tensorflow-Wide-and-deep-comparison
Comparison how Tensorflow Wide and Deep model performs vs. XGBoost implementation
☆20Updated 7 years ago
Alternatives and similar repositories for XGBoost-Tensorflow-Wide-and-deep-comparison:
Users that are interested in XGBoost-Tensorflow-Wide-and-deep-comparison are comparing it to the libraries listed below
- ☆91Updated 7 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- Factorization Machines implementation with Tensorflow☆143Updated 6 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Updated 4 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- using FM latent vectors as embedding features☆13Updated 7 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆111Updated 3 years ago
- ☆31Updated 2 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆130Updated 5 years ago
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 4 years ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 5 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- ☆18Updated 7 years ago
- ☆27Updated 7 years ago
- Deep neural network model based on the tree☆48Updated 6 years ago
- ☆31Updated 6 years ago
- recommendation system with Youtube Deep Net☆83Updated 6 years ago
- Deep structured semantic model☆32Updated 8 years ago
- ☆37Updated 8 years ago
- Tensorflow2.x implementations of CTR(LR、FM、FFM)☆72Updated 3 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 5 years ago
- Neural candidates generation network based on Youtube reommender paper☆20Updated 6 years ago
- FFM implement with tensorflow by Python☆60Updated 7 years ago
- ☆43Updated 4 years ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆145Updated 8 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- Keras Implementation for "Deep & Cross Network for Ad Click Predictions"☆93Updated 3 years ago
- A simple DeepFM.☆101Updated 6 years ago
- 第二届腾讯广告算法大赛(Rank 9) http://algo.tpai.qq.com/home/rankinglist/rankingList☆105Updated 6 years ago