dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart
dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart
wsl --set-default-version 2
Priyanka O priya-gitTest
priya-gitTest
/ wikipedia_data_map.ipynb
Created
June 24, 2025 18:28
— forked from lmcinnes/wikipedia_data_map.ipynb
Interactive Data Map of Wikipedia
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/ docker-wsl2.md
Created
June 6, 2024 11:16
— forked from martinsam16/docker-wsl2.md
How to install wsl2 ubuntu + docker + docker-compose
priya-gitTest
/ Apriori.py
Created
June 27, 2018 07:55
— forked from marcelcaraciolo/Apriori.py
Apriori.py
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| #-*- coding:utf-8 - *- | |
| def load_dataset(): | |
| "Load the sample dataset." | |
| return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]] | |
| def createC1(dataset): | |
| "Create a list of candidate item sets of size one." |
priya-gitTest
/ lung_cancer_market_basket.ipynb
Created
June 27, 2018 07:54
— forked from sujitpal/lung_cancer_market_basket.ipynb
Using Market Basket (Apriori) analysis to predict frequent gene expression itemsets to predict Lung Cancer type
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/ eafp_vs_lbyl.py
Created
June 12, 2018 11:59
— forked from cdgriffith/eafp_vs_lbyl.py
Python EAFP vs LBYL speeds
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| import reusables | |
| @reusables.time_it() | |
| def test_lbyl(messages): | |
| out = [] | |
| for _ in range(10000): | |
| if messages and messages[0] and len(messages[0]) >= 3: | |
| out.append(messages[0][2]) | |
| return out |
priya-gitTest
/ main.py
Created
June 1, 2018 14:42
— forked from khanhnamle1994/main.py
FCN - Full Code
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| #-------------------------- | |
| # USER-SPECIFIED DATA | |
| #-------------------------- | |
| # Tune these parameters | |
| num_classes = 2 | |
| image_shape = (160, 576) | |
| EPOCHS = 40 | |
| BATCH_SIZE = 16 |
priya-gitTest
/ tvl.R
Created
April 6, 2018 06:17
— forked from ceshine/tvl.R
Talent vs Luck simulation
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| library(checkpoint) | |
| checkpoint("2018-02-25") | |
| library(ggplot2) | |
| # number of people | |
| N <- 1000 | |
| # probability of event interception | |
| P_E <- 0.075 | |
| # probability of lucky event | |
| P_L <- 0.5 |
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/ tcn.py
Created
April 6, 2018 06:16
— forked from ceshine/tcn.py
Temporal Convolutional Networks
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| class TemporalConvNet(tf.layers.Layer): | |
| def __init__(self, num_channels, kernel_size=2, dropout=0.2, | |
| trainable=True, name=None, dtype=None, | |
| activity_regularizer=None, **kwargs): | |
| super(TemporalConvNet, self).__init__( | |
| trainable=trainable, dtype=dtype, | |
| activity_regularizer=activity_regularizer, | |
| name=name, **kwargs | |
| ) | |
| self.layers = [] |
priya-gitTest
/ tcn_mnist.py
Created
April 6, 2018 06:16
— forked from ceshine/tcn_mnist.py
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| tf.reset_default_graph() | |
| graph = tf.Graph() | |
| with graph.as_default(): | |
| tf.set_random_seed(10) | |
| # tf Graph input | |
| X = tf.placeholder("float", [None, timesteps, num_input]) | |
| Y = tf.placeholder("float", [None, num_classes]) | |
| is_training = tf.placeholder("bool") | |
| # Define weights |
priya-gitTest
/ README.md
Created
March 11, 2018 17:48
— forked from hofmannsven/README.md
SQL analyzing business metrics
Basics:
Tutorial:
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