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本项目是NLP领域一些任务的基准模型实现,包括文本分类、命名实体识别、实体关系抽取、NL2SQL、CKBQA以及BERT的各种下游任务应用。
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.
Custom object detection with Tensorflow 1.15 and custom collected & annotated vegetable dataset.
1、人工智能学习相关资料整理 2、人工智能学习相关示例代码整理,包括tensorflow1.x、tensorflow2.x、pytorch实现 3、提供人工智能常用小工具,例如爬虫、自动化中英文翻译等。4、业务模块的技术方案梳理
Code (TensorFlow 1.14) for the paper "CenterNet: Keypoint Triplets for Object Detection".
Building a deep neural network using TensorFlow 1.x for binary classification.
臺灣人工智慧學校(AIA)南部分校技術班第二期-偶像辨識
This Project is neural style transfer which merge to given images into a new one taking the shape of one and the style of another.
This is python code for the implementation of the paper a Neural Algorithm for Artistic Style
Website: https://rohetoric.github.io/text-vector-visualisation/
Deep learning Specialization from deeplearning.ai
Build tensorflow 1.12 source code with CUDA 10.1 in Ubuntu