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Andrew Carl's Projects

paper_summaries icon paper_summaries

Summaries and minimal implementations of ML / statistics research articles.

parallel icon parallel

A parallel implementation of the map function.

parallelforest icon parallelforest

R package implementing random forest classification using parallel computing, built with Fortran and OpenMP in the backend.

param_recovery icon param_recovery

Suite to test whether your model can recover parameters. Experimental.

parametric-t-sne icon parametric-t-sne

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

parametric_tsne icon parametric_tsne

Python / Tensorflow / Keras implementation of Parametric tSNE algorithm

parametrized-learning icon parametrized-learning

Use of machine learning algorithms when distribution of features is parametrized by nuisance parameters or parameters of interest.

paraphraser icon paraphraser

Sentence paraphrase generation at the sentence level

parfit icon parfit

A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.

parity icon parity

Open source software platform for trading venues

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