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Name: Stephen Wambura
Type: User
Company: Hitechtz
Name: Stephen Wambura
Type: User
Company: Hitechtz
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Anomaly detection related books, papers, videos, and toolboxes
Static (Python) and streaming (C++) implementations of xStream (KDD 2018).
MCD's Colloide is a bruteforcing tool to find hidden pages, files and directories inside websites
Contextual Outlier Detection with Multiple Contexts
Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018
Data and code behind the articles and graphics at FiveThirtyEight
Project of Introduction to Data Mining course
Different learning algorithms - GD, SGD, AdaGrad, ADAM - implemented from scratch
Machine learning datasets used in tutorials on MachineLearningMastery.com
A paper list of object detection using deep learning.
LSTM for time series forecasting
Predicting outbreaks of dengue fever
LaTeX files for the Deep Learning book notation
A collection of ECG heartbeat detection algorithms implemented in Python
This is just a testing staff
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Geolocation prediction for a given Tweet
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm, WWW 2017
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This repository contains the datasets used for the evaluation of the tool MoLFI: https://github.com/SalmaMessaoudi/MoLFI.git
Code to reproduce "imagenet in 18 minutes" experiments
Code & supporting files for chapters in book
Kaggle | Instacart Market Basket Analysis๐ฅ๐ฅ
Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.