DeepRec-AI/DeepRec
A TensorFlow-based deep learning framework optimized for large-scale recommendation system training and inference.
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DeepRec is a high-performance recommendation deep learning framework built on TensorFlow 1.15 with Intel and NVIDIA optimizations. It supports distributed training for trillion-sample recommendation models with over ten trillion parameters. Key features include specialized embedding variables, async/sync distributed training frameworks (Parameter Server), and platform-specific performance optimizations for CPU and GPU.
Frequently asked
- What is DeepRec-AI/DeepRec?
- A TensorFlow-based deep learning framework optimized for large-scale recommendation system training and inference.
- Is DeepRec open source?
- Yes — DeepRec-AI/DeepRec is open source, released under the Apache-2.0 license.
- What language is DeepRec written in?
- DeepRec-AI/DeepRec is primarily written in C++.
- How popular is DeepRec?
- DeepRec-AI/DeepRec has 1.2k stars on GitHub.
- Where can I find DeepRec?
- DeepRec-AI/DeepRec is on GitHub at https://github.com/DeepRec-AI/DeepRec.