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code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-
My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"
An on going implementation of the gcForest algorithm
Uncertainty estimation for deep supervised models - WORK IN PROGRESS
Metasploit for machine learning.
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
Implementation of Deep Learning for Predicting Human Strategic Behavior
A simple and accurate method to fool deep neural networks
Encrypted Traffic Classification using Deep Learning
code and docs for the paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"
DeepSphere for Anomaly Detection
Deep Learning for Spatio-Temporal Data
The code and datasets for the IEEE Big Data 2016 paper entitled - " Deep Topology Classification: A New Approach for Massive Graph Classification"
Deep Learning models for network traffic classification
defplorex for BlackHat Arsenal
Algorithm for computing Delta-cliques in link streams
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
A Python repository for finding the densest subgraph in a undirected graph
A repository which contains some dependencies needed by a script (Airscript-ng) in my other repository. https://github.com/Sh3llcod3/Airscript-ng
Heuristic and inference engine for estimating the number of communities in a bipartite network
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.
Sample DGA classifier
Fast, Distributed Graph DB
Deep Learning for Networking
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.