emilleishida Goto Github PK
Name: Emille Ishida
Type: User
Company: CNRS - Laboratoire de Physique de Clermont
Twitter: emilleishida
Location: Clermont Ferrand - France
Name: Emille Ishida
Type: User
Company: CNRS - Laboratoire de Physique de Clermont
Twitter: emilleishida
Location: Clermont Ferrand - France
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.
AGN_classifier
A repository with codes for supernova data analysis
Photometric Classification of Astronomical Transients and Variables With Biased Spectroscopic Samples
An open source community conda channel
Study of correlation matrices under ABC
The Python programming language
CRP7: Statistics of hostless transients
Code accompanying the paper "Deep Neural Network Classifier for Variable Stars with Novelty Detection Capability" (submitted)
My version of the Fink-kilonovae module
Notebook template using Fink API for the LSST broker workshop
Define your science modules to add values to Fink alerts!
Fink collaboration website
Preparing the Fink Early SNIa classifier for ELAsTiCC
Fink early SN Ia module
Miscelaneous tools for the Fink graph project
Gaussian processes with arbitrary derivative constraints and predictions.
Pool-based active learning in Python
Unsupervised machine learning applications to type Ia SN spectra
MTH225 Statistics for Science Spring 2016
A nearest neighbor density ratio estimator with model selection, written in Python 2. It uses numpy and scikit-learn.
Main website to advertise the four groups under the umbrella
Machine learning indentification of PISN among other objects in the Plasticc data set
Validation exercises for PLAsTiCC
Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
List of links to packages discussed by workshop participants
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.