sflender

Samuel Flender's repositories

analysis of crime data from San Francisco (via Kaggle.com)

Language:Jupyter Notebook3 40

Distributed version of Google's flood-filling network (ffn)

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Lessons on Algorithms and Data Structures

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Exploring deep learning on Cooley

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set of python functions for computing 2-point functions and pairwise velocity

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AutoGluon: AutoML for Text, Image, and Tabular Data

Language:PythonApache-2.0010

My solution for the Kaggle bike sharing challenge

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Flood filling networks for segmenting electron microscopy of neural tissue

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Exploring Elephas on the Cooley cluster.

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a fast lightcone generation code, using zeroth order approximation (static universe)

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computes the pairwise velocity of pairwise kSZ temperature from input data

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testing features in pyspark

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Making a Sunyaev Zel'dovich map from a halo catalog

Language:C++030