marcoac Goto Github PK
Type: User
Type: User
Bayesian Analysis with Python - Second Edition, published by Packt
A python tutorial on bayesian modeling techniques (PyMC3)
Drawing graphical models for causal inference using LaTeX
Homework Answers
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
Intrusion Detection Algorithm - SVM and Enhanced SVM
Some iPython Notebooks I have created for personal learning
Demo of SciKit ML algorithms using the kdd99 dataset
Kubernetes Native Edge Computing Framework (project under CNCF)
Repository for the book Grokking Machine Learning, by Manning Editors
Draw From Beta Distribution, Knapsack And Cryptography
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Implementation of Collapsed Gibbs Sampling for Latent Dirichlet Allocation (LDA)
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
Jupyter notebooks from the scikit-learn video series
Mirror of the OPNFV Yardstick Project
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.