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Emille Ishida's Projects

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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.

analyzesn icon analyzesn

A repository with codes for supernova data analysis

avocado icon avocado

Photometric Classification of Astronomical Transients and Variables With Biased Spectroscopic Samples

fink-science icon fink-science

Define your science modules to add values to Fink alerts!

gptools icon gptools

Gaussian processes with arbitrary derivative constraints and predictions.

libact icon libact

Pool-based active learning in Python

mlsnespectra icon mlsnespectra

Unsupervised machine learning applications to type Ia SN spectra

nnratio icon nnratio

A nearest neighbor density ratio estimator with model selection, written in Python 2. It uses numpy and scikit-learn.

pisn-classification icon pisn-classification

Machine learning indentification of PISN among other objects in the Plasticc data set

pymc3 icon pymc3

Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.

repo_list icon repo_list

List of links to packages discussed by workshop participants

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