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2019_jinnan2_x-ray-detection

2019_jinnan2_x-ray-detection

ae_ts

Auto encoder for time series

autoencoder

个人练习，自编码器及其变形（理论+实践）

candock

使用多种神经网络结构(如LSTM，RESNET，DFCNN等)对EEG等生理信号或其他一维数据进行分析及分类

chinese-ocr

[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别

classification_models

Classification models trained on ImageNet. Keras.

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deeplearning-assignment

吴恩达-深度学习-课后作业-答案与总结

excelhandler

information-extraction

jquery-weui

UI lib for build hybrid wechat web app

kashgari

Kashgari is a Production-ready NLP Transfer learning framework for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

keras_bearing_fault_diagnosis

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

machine-learning-in-action-python3

《机器学习实战》python3源码

machine-learning-session

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

medicalnamedentityrecognition

Medical Named Entity Recognition implement using bi-directional lstm and crf model with char embedding.CCKS2017中文电子病例命名实体识别项目,主要实现使用了基于字向量的四层双向LSTM与CRF模型的网络.该项目提供了原始训练数据样本(一般醒目,出院情况,病史情况,病史特点,诊疗经过)与转换版本,训练脚本,预训练模型,可用于序列标注研究.把玩和PK使用.

named_entity_recognition

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

natural-language-processing

Programming Assignments and Lectures for Stanford's CS 224: Natural Language Processing with Deep Learning

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

ntu-machine-learning

**大学李宏毅老师机器学习

ntu_hylee_machinelearning_homework

作業分享：台大李宏毅 (Hung-Yi Lee) 教授的Machine Learning (2016, Fall)

prml_note

涵盖线性回归, 逻辑回归, 神经网络, 核方法, 贝叶斯判别器, EM算法, 集成方法, 聚类方法, 降维方法, 半监督学习, 强化学习和深度强化学习

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

spatio-temporal-clustering

使用numpy实现的聚类算法（包括时空聚类算法）

springboot-learning-example

spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。

tensorflow-for-java

使用java调用tensorflow,Keras模型