Tim Nugent timnugent
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| // This file is MIT Licensed. | |
| // | |
| // Copyright 2017 Christian Reitwiessner | |
| // Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: | |
| // The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. | |
| // THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF O |
teamdandelion
/ labels_1024.tsv
Last active
February 6, 2024 08:33
TensorBoard: TF Dev Summit Tutorial
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
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| 7 | |
| 2 | |
| 1 | |
| 0 | |
| 4 | |
| 1 | |
| 4 | |
| 9 | |
| 5 | |
| 9 |
drorata
/ gist:146ce50807d16fd4a6aa
Last active
June 3, 2024 06:00
Minimal Working example of Elasticsearch scrolling using Python client
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| # Initialize the scroll | |
| page = es.search( | |
| index = 'yourIndex', | |
| doc_type = 'yourType', | |
| scroll = '2m', | |
| search_type = 'scan', | |
| size = 1000, | |
| body = { | |
| # Your query's body | |
| }) |
JDWarner
/ _jaccard.py
Last active
April 20, 2024 01:38
Jaccard coefficient between two boolean NumPy arrays or array-like data. This is commonly used as a set similarity metric, and it is a true metric. The dimensionality of the input is completely arbitrary, but `im1.shape` and `im2.shape` much be equal. This Gist is licensed under the modified BSD license, otherwise known as the 3-clause BSD.
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| """ | |
| _jaccard.py : Jaccard metric for comparing set similarity. | |
| """ | |
| import numpy as np | |
| def jaccard(im1, im2): | |
| """ |
thearn
/ svd_approximate.py
Last active
January 8, 2024 20:25
Function to generate an SVD low-rank approximation of a matrix, using numpy.linalg.svd. Can be used as a form of compression, or to reduce the condition number of a matrix.
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| import numpy as np | |
| def low_rank_approx(SVD=None, A=None, r=1): | |
| """ | |
| Computes an r-rank approximation of a matrix | |
| given the component u, s, and v of it's SVD | |
| Requires: numpy | |
| """ |