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汉语自然语言处理视频教程-开源学习资料
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic using Autoencoder.
ALPR model in unconstrained scenarios for Chinese license plates
homework for CS224n 2017 and 2019
Stanford cs224n. 斯坦福2019最新cs224n学习资料 个人学习笔记和解读以及作业解答。 http://web.stanford.edu/class/cs224n/
Dual Attention Network for Scene Segmentation (CVPR2019)
Deep Learning models for network traffic classification
Early stopping for PyTorch
基于u-net,cv2以及cnn的中文车牌定位,矫正和端到端识别软件,其中unet和cv2用于车牌定位和矫正,cnn进行车牌识别,unet和cnn都是基于tensorflow的keras实现
Generate the fake Chinese license plate images for detection & recognition
Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”
Hierachical Attention Networks for Document Classification in Pytorch
Hierarchical Attention Networks for document classification
**科学院信息工程研究所考研/博文档资料
Face Analysis Project on MXNet and PyTorch
Intrusion Detection Based on Convolutional Neural Network with kdd99 data set
使用 "Darknet yolov3-tiny" 进行车牌识别
[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2020 paper 'Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect'.
Build a Jekyll blog in minutes, without touching the command line.
Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”
Multitask Learning Approach for Network Traffic Classification
NLTK Data
A simple utility to classify packets into flows. It's so simple that only one task is aimed to finish. For Deep Packet Inspection or flow classification, it's so common to analyze the feature of one specific flow. I have make the attempt to use made-ready tools like tcpflows, tcpslice, tcpsplit, but all these tools try to either decrease the trace volume (under requirement) or resemble the packets into flow payloads (over requirement). I have not found a simple tool to classify the packets into flows without further processing. This is why this program is born.
A neural machine translation model in PyTorch
This is an implementation of SAN which aims to application protocol classification.
Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"
Sentence Embeddings with BERT & XLNet
Siamese and triplet networks with online pair/triplet mining in PyTorch
完成了《实战Google深度学习框架》里的内容
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.