DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
More details of features: https://deeprec.readthedocs.io/zh/latest/
alideeprec/deeprec-release:deeprec2206-cpu-py36-ubuntu18.04
alideeprec/deeprec-release:deeprec2206-gpu-py36-cu110-ubuntu18.04
alideeprec/deeprec-release:deeprec2204u1-cpu-py36-ubuntu18.04
alideeprec/deeprec-release:deeprec2204u1-gpu-py36-cu110-ubuntu18.04
More details of features: https://deeprec.readthedocs.io/zh/latest/
registry.cn-shanghai.aliyuncs.com/pai-dlc-share/deeprec-training:deeprec2204-cpu-py36-ubuntu18.04
registry.cn-shanghai.aliyuncs.com/pai-dlc-share/deeprec-training:deeprec2204-gpu-py36-cu110-ubuntu18.04
Some user report issue when use Embedding Variable, such as https://github.com/alibaba/DeepRec/issues/167. The bug is fixed in r1.15.5-deeprec2204u1.
This is the first release of DeepRec. DeepRec has super large-scale distributed training capability, supporting model training of trillion samples and 100 billion Embedding Processing. For sparse model scenarios, in-depth performance optimization has been conducted across CPU and GPU platform.
More details of features: https://deeprec.readthedocs.io/zh/latest/
registry.cn-shanghai.aliyuncs.com/pai-dlc-share/deeprec-training:deeprec2201-cpu-py36-ubuntu18.04
registry.cn-shanghai.aliyuncs.com/pai-dlc-share/deeprec-training:deeprec2201-gpu-py36-cu110-ubuntu18.04