DeepRec
Visit ToolDeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It offers super large-scale distributed training capabilities for recommendation models with trillions of parameters.
At a glance
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DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It offers super large-scale distributed training capabilities for recommendation models with trillions of parameters.
Trending
About
DeepRec is a high-performance deep learning framework specifically designed for recommendation models, built upon TensorFlow 1.15, Intel-TensorFlow, and NVIDIA-TensorFlow. Developed since 2016, it powers core businesses like Taobao Search and advertising, offering robust features for training and inference. The framework excels in super large-scale distributed training, supporting models with trillions of samples and over ten trillion parameters. It includes in-depth performance optimizations for both CPU and GPU platforms, featuring advanced embedding variables, asynchronous and synchronous distributed training frameworks, and various runtime and graph-level optimizations. DeepRec also provides capabilities for delta checkpoint loading, super-scale distributed serving, and online deep learning with low latency.
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Pricing & Plans
Open Source
Free
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