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digttoBlog Java
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自制

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[Torch+Lua] Experimental Codes for Local Binary Convolutional Super-Resolution Network 1. Based on LBCNN for classification 2. Unarranged version

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[PyTorch] Low-Level-Vision-Tools-Ver0.1 --- by [J.Zhang & Y.Zhao] @ PengchengLab -----in preparation -----Coming Soon ...

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一个基于Yolo v3模型的车辆检测方法

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A powful outdoor GPS track editor

原始仓库地址:https://github.com/huolongshe/spider.git

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java Java
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测试

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A fast tool to do image augmentation by CUDA on GPU(especially elastic deform), can be helpful to research on Medical Image.

原始仓库地址:https://github.com/qsyao/cuda_spatial_deform.git

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BERT Encoder Backend is implemented by CUDA and has been optimized (Using Kernel Fusion etc) Frontend is implemented by python, for pruning useless sequence length at the end of string.(disabled by mask) Tokenlizer and additional layer for BERT_Encoder is implemented by Pytorch, users can define their own additional layers.

原始仓库地址:https://github.com/qsyao/cudaBERT.git

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**Analytics Zoo**提供了一个统一的Analytics + AI平台,可以无缝地将Spark、TensorFlow、Keras和BigDL程序集成在一起,然后,可以扩展到大型Hadoop/Spark集群,用于分布式培训或推理。 Analytics Zoo provides a unified analytics + AI platform that seamlessly unites Spark, TensorFlow, Keras and BigDL programs into an integrated pipeline; the entire pipeline can then transparently scale out to a large Hadoop/Spark cluster for distributed training or inference. ![](/attachments/download/475)

原始仓库地址:https://github.com/intel-analytics/analytics-zoo.git

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