mammask Goto Github PK
Name: Kostas Mammas
Type: User
Company: University of the Aegean | Department of Environment
Bio: Head of Global Analytics | Statistical Programmer | Time Series Forecasting
Location: Greece
Name: Kostas Mammas
Type: User
Company: University of the Aegean | Department of Environment
Bio: Head of Global Analytics | Statistical Programmer | Time Series Forecasting
Location: Greece
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.
The collection of ARFF datasets of the Connectionist Artificial Intelligence Laboratory (LIAC)
Open source documentation of Microsoft Azure
An implementation of balancing classes during cross-validation when solving a classification problem
R's data.table package extends data.frame:
Deep Learning Course
This is a repository with codebase and results of the publication: "Characterization of Bias During Meteorological Drought Calculation in Time Series Out-of-Sample Validation"
An R package for non-stationary meteorological drought monitoring
Material for Big Data Analysis in Earth Sciences - EarthBiAs2017
A code repository to perform analytics on environmental time-series
Automatically exported from code.google.com/p/fully-justified-text
An R interface to download environmental data from ecad.eu
A high performance implementation of HDBSCAN clustering.
Interactive visualisation scripts using R
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
Unbiased model forecast of SPI using LSTM
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Stylish, minimalistic theme for jekyll.
Shiny web application using data from ECA
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Run R scripts as part of a pipeline using Azure Batch through Azure Data Factory
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.