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@ayhc
ayhc / miyota9075.md
Last active November 8, 2024 04:11
List of watches with the Miyota 9075 GMT movement
@twiecki
twiecki / dask_sparse_corr.py
Created August 17, 2018 11:26
Compute large, sparse correlation matrices in parallel using dask.
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):
@bwengals
bwengals / DTC_latent.ipynb
Created April 3, 2018 01:56
DTC for latent GP, non-normal likelihoods
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@AustinRochford
AustinRochford / boston-bayesians-2017-bayes-bandits.ipynb
Last active August 28, 2024 17:11
Boston Bayesians 2017 - Two Years of Bayesian Bandits for E-Commerce
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@aseyboldt
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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"""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
@tupui
tupui / halton.py
Last active October 9, 2022 12:20
Halton Sequence in python
"""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
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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@AustinRochford
AustinRochford / pymc3_bsplines.ipynb
Last active September 15, 2022 21:08
PyMC3 BSplines
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