shenweichen/DeepCTR-Torch
PyTorch-based library of deep-learning CTR (Click-Through Rate) prediction models.
Not currently ranked — collecting fresh signals.
star history
DeepCTR-Torch provides a collection of deep learning models for CTR prediction, a common machine learning task in recommender systems and digital advertising. It offers modular, reusable components including shared embeddings, feature processing layers, and architectures like DeepFM, xDeepFM, and FiBiNET. Users can build and train custom CTR models using standard PyTorch fit/predict patterns.
Frequently asked
- What is shenweichen/DeepCTR-Torch?
- PyTorch-based library of deep-learning CTR (Click-Through Rate) prediction models.
- Is DeepCTR-Torch open source?
- Yes — shenweichen/DeepCTR-Torch is open source, released under the Apache-2.0 license.
- What language is DeepCTR-Torch written in?
- shenweichen/DeepCTR-Torch is primarily written in Python.
- How popular is DeepCTR-Torch?
- shenweichen/DeepCTR-Torch has 3.4k stars on GitHub.
- Where can I find DeepCTR-Torch?
- shenweichen/DeepCTR-Torch is on GitHub at https://github.com/shenweichen/DeepCTR-Torch.