Jhonzhang

Jhonzhang

Geek Repo

Company:a student

Location:China guangzhou

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Jhonzhang's repositories

HSMM-sourcecode-and-Related-literatures

this is the HSMM code, The ownership of these codes is Professor Yu Shunzheng

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lstm_ctc

LSTM CTC End2End Speech Recognition.

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article

articles by WeChat Mobile Development Team

deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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seqHMM

Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

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tensorflow

An Open Source Machine Learning Framework for Everyone

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ARTist

ARTist's core implementation meant to be included in the art project. Provides ARTist APIs and boilerplate code for modules.

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CopyTranslator

Foreign language reading and translation assistant based on copy and translate.

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DNN-HSMM

pytorch implementation of DNN-HSMM for TTS

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joy

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

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learngit_2019_next

第2次系统学习git技能

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mercury

Mercury: network fingerprinting and packet metadata capture

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Pcap-Analyzer

Python编写的可视化的离线数据包分析器

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pdf

编程电子书,电子书,编程书籍,包括C,C#,Docker,Elasticsearch,Git,Hadoop,HeadFirst,Java,Javascript,jvm,Kafka,Linux,Maven,MongoDB,MyBatis,MySQL,Netty,Nginx,Python,RabbitMQ,Redis,Scala,Solr,Spark,Spring,SpringBoot,SpringCloud,TCPIP,Tomcat,Zookeeper,人工智能,大数据类,并发编程,数据库类,数据挖掘,新面试题,架构设计,算法系列,计算机类,设计模式,软件测试,重构优化,等更多分类

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pywinauto

Windows GUI Automation with Python (based on text properties)

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scapy

Scapy: the Python-based interactive packet manipulation program & library. Supports Python 2 & Python 3.

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Semi-supervised-Learning-QUIC-

Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"

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tanogan

GAN based model for time series anomaly detection.

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telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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TimeSeries-VAE-Anomaly-Detection

Sample code for anomaly detection using autoencoder neural networks (LSTM auto-encoder and LSTM VAE) on time series data.

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uiautomator2

Android Uiautomator2 Python Wrapper

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