DeepCTR and ctr_model_zoo

These are competitors offering overlapping CTR model implementations, though DeepCTR is significantly more mature and widely adopted with comprehensive framework support, while ctr_model_zoo is a smaller PyTorch-specific alternative covering similar model architectures like DeepFM and xDeepFM.

DeepCTR
60
Established
ctr_model_zoo
35
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 25/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 18/25
Stars: 8,007
Forks: 2,232
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 70
Forks: 16
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m
No License Stale 6m No Package No Dependents

About DeepCTR

shenweichen/DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

# Technical Summary for DeepCTR Implements 20+ state-of-the-art CTR prediction architectures (DeepFM, xDeepFM, DCN, AutoInt, etc.) as composable tf.keras models with reusable embedding and attention layers. Supports both rapid prototyping via standard Keras APIs and production-scale distributed training through TensorFlow Estimators with TFRecord input pipelines, maintaining compatibility across TensorFlow 1.x and 2.x.

About ctr_model_zoo

qian135/ctr_model_zoo

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

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