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jiaya12's Projects

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_xiaojiang icon nlp_xiaojiang

自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用

object_detection icon object_detection

Implementation of object detection with using YOLO and TensorFlow with feeding the data from Open Images

pytorchtext icon pytorchtext

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

resume icon resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

sa-dl icon sa-dl

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

senta icon senta

Baidu's open-source Sentiment Classification System.

sentiment icon sentiment

CCF大数据比赛,基于主题的文本情感分析

skorch icon skorch

A scikit-learn compatible neural network library that wraps pytorch

torchsample icon torchsample

High-Level Training, Data Augmentation, and Utilities for Pytorch

train-yolov3-with-openimagesv4 icon train-yolov3-with-openimagesv4

End-to-end tutorial on data prep and training PJReddie's YOLOv3 to detect custom objects, using Google Open Images V4 Dataset. Includes instructions on downloading specific classes from OIv4, as well as working code examples in Python for preparing the data.

zhihu icon zhihu

知乎看山杯 第二名 解决方案

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