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I WILL RELEASE THE CODE AFTER MY PAPER IS PUBLISHED.Aim of this project is to develop an algorithm which has better performance than the existing methods.This project is basically detecting any unauthorised intruder in the network.This intruder can be through DDOS, Probe attack, U2R ,R2L attacks,etc.NSL-KDD and CIC-NID-2017 datasets have been used for training the models.
All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN
Awesome Generative Adversarial Networks with tensorflow
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
conditional variational autoencoder written in Keras [not actively maintained]
Anomaly Detection (Network Intrusion Detection) & Utilities
This repository contains various data preprocessing techniques related to feature scaling.
An implementation of the paper "Deep Interactive Evolution", using a pretrained VAE for MIDI data.
Demonstration code related to Medium blog articles
Hands-On Ensemble Learning with Python, published by packt publishing
Attention-based bidirectional LSTM for Classification Task (ICASSP)
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html
Machine Learning Algorithms on NSL-KDD dataset
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Radial-Based Oversampling for Noisy Imbalanced Data Classification
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Implementation of Siamese Neural Networks for One-shot Image Recognition
Current version of the SuperLearner R package
Collection of generative models in Tensorflow
Tensorflow implementation of variational auto-encoder for MNIST
Code for the experiments of the Doctoral Thesis
Conditional out-of-distribution prediction
a simple vae and cvae from keras
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.