yangxudong/deeplearning

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1049 stars · 378 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of deep learning model training, evaluation, and prediction code implemented with TensorFlow's high-level Estimator API, with a focus on CTR prediction models. It emphasizes readability and generality and includes documentation for several model subdirectories.

Use cases

• train deep learning models with tensorflow estimator
• implement CTR prediction models like ESMM
• build distributed deep learning training pipelines
• learn tensorflow dataset api input pipelines
• text classification with CNN in tensorflow
• feature engineering with tensorflow feature columns

When to choose

• you work with TensorFlow 1.x Estimator API and want readable reference implementations
• you need CTR/recommendation model examples such as ESMM
• you want to learn distributed training patterns with high-level TensorFlow APIs

When to avoid

• you use TensorFlow 2.x or PyTorch exclusively
• you need a maintained production library with a license and active releases
• you need modern deep learning tooling outside CTR prediction

Facets

library · maturity maintenance

deep-learning machine-learning llm-training deep-learning machine-learning python tensorflow ctr-prediction estimator recommendation-systems model-training recommendation

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