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".

臺灣人工智慧學校(AIA)南部分校技術班第二期-偶像辨識

Building a deep neural network using TensorFlow 1.x for binary classification.

Deep learning Specialization from deeplearning.ai

Build tensorflow 1.12 source code with CUDA 10.1 in Ubuntu

An anomaly detection algorithm for seasonal KPIs

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/