alqatf Goto Github PK
Name: A
Type: User
Company: B
Location: C
Name: A
Type: User
Company: B
Location: C
NSL-KDD99
Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).
The most cited deep learning papers
:octocat: Machine Learning for Cyber Security
Bottom-up Top-down image captioning model with PyTorch.
A pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.
Classification using Support Vector Machines, K Nearest Neighbors, and Neural Networks in MATLAB
Classify a dataset using five different classifiers including k-NN, Support Vector Machine (with RBF kernel), Naïve Bayes, Decision Trees and Neural Networks. The objective is to experiment with parameter selection in training classifiers and to compare the performance of these well- known classification methods.
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
This System track the Flaying object and Detect the object using various Machine learning algoritm like Support vector maching,KNN,Random forest and convoluted Neural network.
Solutions to the exercises in Concrete Mathematics (2nd edition)
Computer Vision Papers with Code in GitHub
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Using SVM and MLP on MNSIT then trying Autoencoder for feature extraction and data preprocessing and feeding it to SVM
Deep learning based Intrusion Detection System
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Deep Learning models for network traffic classification
Structured Auto-Encoder with application to Music Genre Recognition (master thesis)
RBF+Autoencoder
Fast OOP MATLAB® implementation of Extreme Learning Machines for both regression and binary classification problems.
feature selection by using random forest.
The pytorch implementation on “Fine-Grained Image Captioning with Global-Local Discriminative Objective”
Graph Neural Networks including GAT\GCN\GGNN,GGNN-LSTM,using scene graph to generate captions
We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the application of Attention in NLP.
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.