TorchCTR
TorchCTR copied to clipboard
CTR Prediction on PyTorch
Install | Getting Started | Documentation |
TorchCTR
TorchCTR is a scalable and easy-to-use ML package for CTR (Click Through Rate) prediction and ranking in recommender system with Facebook PyTorch.
Classic Models
- [x] Logistic Regression
- [x] Factorization Machine by Osaka Univ.
- [x] Field-aware Factorization Machine by Criteo, CMU & NTU
Deep Learning Models
- [x] Wide and Deep by Google
- [x] DeepFM by Huawei & HIT
- [x] Neural Factorization Machine by NUS
- [x] Field-aware Neural Factorization Machine
- [ ] Factorization-supported Neural Network
- [ ] Product-based Neural Network
- [ ] Attentional Factorization Machine
- [ ] Deep and Cross Network
- [ ] Deep Interest Network
- [ ] eXtreme Deep Factorization Machine
Install
pip install torchctr --user
Getting Started
please check exmaples/