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Name: 5l1v3r1
Type: User
Name: 5l1v3r1
Type: User
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
A Wireshark dissector for the MMDVM protocol
Decrypts and extracts iCloud and MMe authorization tokens on Apple macOS / OS X. No user authentication needed, no dependencies.
Calculate fingerprints of a website for OSINT search
Display ipcam feed on MagicMirror
This api using your user email and password to like page or join group rather than using graph api.
Instagram API without OAuth
Efficient implementation of the Gibbs sampler by Fearnheard and Sherlock (2006) for the Markov modulated Poisson process that uses 'C++' via the 'Rcpp' interface. Fearnheard and Sherlock (2006) proposed an exact Gibbs-sampler for performing Bayesian inference on Markov Modulated Poisson processes. This package is an efficient implementation of their proposal for binned data. Furthermore, the package contains an efficient implementation of the hierarchical MMPP framework, proposed by Clausen, Adams, and Briers (2018), that is tailored towards inference on network flow arrival data and extends Fearnheard and Sherlock's Gibbs sampler. Both frameworks harvests greatly from routines that are optimised for this specific problem in order to remain scalable and efficient for large amounts of input data. These optimised routines include matrix exponentiation and multiplication, and endpoint-conditioned Markov process sampling. Both implementations require an input vector that contains the binned observations, the length of a binning interval, the number of states of the hidden Markov process, and lose prior hyperparameters. As a return, the user receives the desired number of sample trajectories of the hidden Markov process as well as the likelihood of each trajectory.
mmTrace: Millimeter Wave Propagation Simulation
Tools for working with MaxMind GeoIP csv and dat files
Maltego Local Transform to use mnemonic Passive DNS - https://passivedns.mnemonic.no/
A Generic Windows Memory Scraping Tool
Normalizer for honeypot data.
Quickly test classifiers on the MNIST dataset
Generative Adversarial Networks for the MNIST dataset
Machine learning
Work in progress; The "MNIST" of Brain Digits; Given the brain signal(s) of 2 seconds each, captured with the stimulus of seeing a digit (from 0 to 9) and thinking about it, determine what the digit is
Test MNIST classifiers from your browser
🔗 Minimal URL - Modern URL shortener with support for custom alias & can be hosted even in GitHub pages [DEPRECATED]
My new passport
mCanvas.js is a simple JS function to save HTML as Image.
My GitHub readme repository.
A collection of developed exploits
Mob-Droid helps you to generate metasploit payloads in easy way without typing long commands and save your time.
Mobile Atlas Creator Additionnal map sources
MobaXterm Keygen Originally by DoubleLabyrinth
Mobbr plugin for Question2Answer (http://www.question2answer.org). The Mobbr plugin makes question/answer threads payable, or donatable. The amount is divided among all participants in the thread and all participants in the community in such a way that everybody who added value, shares in the revenues.
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.