ayhc
/ miyota9075.md
Last active
April 8, 2024 12:33
List of watches with the Miyota 9075 GMT movement
twiecki
/ dask_sparse_corr.py
Created
August 17, 2018 11:26
Compute large, sparse correlation matrices in parallel using dask.
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| import dask | |
| import dask.array as da | |
| import dask.dataframe as dd | |
| import sparse | |
| @dask.delayed(pure=True) | |
| def corr_on_chunked(chunk1, chunk2, corr_thresh=0.9): | |
| return sparse.COO.from_numpy((np.dot(chunk1, chunk2.T) > corr_thresh)) | |
| def chunked_corr_sparse_dask(data, chunksize=5000, corr_thresh=0.9): |
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AustinRochford
/ boston-bayesians-2017-bayes-bandits.ipynb
Last active
October 16, 2019 08:41
Boston Bayesians 2017 - Two Years of Bayesian Bandits for E-Commerce
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aseyboldt
/ sensitivity.ipynb
Last active
January 18, 2018 11:47
A *very* basic and possibly wrong implementation of https://github.com/rgiordan/StanSensitivity in pymc3
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michaelosthege
/ lorenz.py
Last active
November 9, 2018 21:07
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| """Sampling parameters of a lorenz attractor. | |
| The forward pass integrates the lorenz attractor ODE system using | |
| tt.scan with a Runge-Kutta integrator. The predicted high-resolution | |
| timecourse is interpolated down so it can be compared to low-density | |
| observations. | |
| """ | |
| import abc | |
| import numpy | |
| import pymc3 |
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| """Halton low discrepancy sequence. | |
| This snippet implements the Halton sequence following the generalization of | |
| a sequence of *Van der Corput* in n-dimensions. | |
| --------------------------- | |
| MIT License | |
| Copyright (c) 2017 Pamphile Tupui ROY |
AustinRochford
/ pydata-nyc-2017-nba-fouls-python.ipynb
Last active
December 22, 2017 16:22
PyData NYC 2017 Understanding NBA Foul Calls with Python
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aseyboldt
/ exoplanet.ipynb
Created
June 5, 2017 07:59
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