Install Screen
$ sudo apt install screen
Enter a new Screen Session
$ screen
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Mohamed Nedal | محمد نضال MohamedNedal
Nemitek
/ keras_prediction.py
Created
October 22, 2015 04:11
Predicting sequences of vectors (regression) in Keras using RNN - LSTM (original by danielhnyk.cz) - fixed for Keras 0.2.0
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| import pandas as pd | |
| from random import random | |
| flow = (list(range(1,10,1)) + list(range(10,1,-1)))*1000 | |
| pdata = pd.DataFrame({"a":flow, "b":flow}) | |
| pdata.b = pdata.b.shift(9) | |
| data = pdata.iloc[10:] * random() # some noise | |
| import numpy as np |
ackdav
/ NN-for-loop.py
Last active
November 23, 2022 09:16
For loop for creating neural net layers in tensorflow
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| ''' | |
| I've found this little setup (https://pythonprogramming.net/community/262/TensorFlow%20For%20loop%20to%20set%20weights%20and%20biases/) | |
| to create layers in a NN with a for loop. Unfortunately it doesn't really work - so here is a corrected version: | |
| keep in mind, layer_config takes the form: [n_input, 200, 200, 200, 200, n_classes] | |
| ''' | |
| def multilayer_perceptron(x, layer_config, name="neuralnet"): | |
| ''' | |
| code from: https://pythonprogramming.net/community/262/TensorFlow%20For%20loop%20to%20set%20weights%20and%20biases/ | |
| ''' |
steventhebrave
/ make-sounds.html
Created
September 25, 2017 13:19
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| <!DOCTYPE html> | |
| <html> | |
| <head><title>SOUND</title></head> | |
| <body> | |
| <div>Frequence: <span id="frequency"></span></div> | |
| <script type="text/javascript"> | |
| var audioCtx = new (window.AudioContext || window.webkitAudioContext)(); | |
| var oscillatorNode = audioCtx.createOscillator(); | |
| var gainNode = audioCtx.createGain(); |
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| from scipy.io import readsav | |
| import pandas as pd | |
| tab = readsav('filename.sav') | |
| d = dict() | |
| for key in tab['table_name'].dtype.names: | |
| v = tab['candidates'][key] | |
| try: | |
| v = v.byteswap().newbyteorder() |
emadehsan
/ Screen Unix Cheat Sheet.md
Created
April 18, 2018 11:52
Screen Linux/Unix command cheat sheet
jhjensen2
/ noninteracting_particle_md.ipynb
Created
October 30, 2018 20:42
noninteracting_particle_MD.ipynb
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panicpotatoe
/ polynomial_regression.py
Last active
March 19, 2021 12:49
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| # Fitting Polynomial Regression to the dataset | |
| from sklearn.preprocessing import PolynomialFeatures | |
| poly_reg = PolynomialFeatures(degree=4) | |
| X_poly = poly_reg.fit_transform(X) | |
| pol_reg = LinearRegression() | |
| pol_reg.fit(X_poly, y) | |
| # Visualizing the Polymonial Regression results | |
| def viz_polymonial(): | |
| plt.scatter(X, y, color='red') |
hayesla
/ rot_plot.ipynb
Created
April 9, 2019 14:52
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jcheong0428
/ synchrony_tutorial.ipynb
Last active
October 18, 2024 16:32
Synchrony tutorial notebook
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hayesla
/ map_helper_example.ipynb
Created
May 16, 2019 18:19
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