Chintan Raiyani vedraiyani
vedraiyani
/ O'Reilly Free Books
Created
May 13, 2018 06:26
— forked from stripedpurple/O'Reilly Free Books
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| http://www.oreilly.com/data/free/files/2014-data-science-salary-survey.pdf | |
| http://www.oreilly.com/data/free/files/2015-data-science-salary-survey.pdf | |
| http://www.oreilly.com/data/free/files/Data_Analytics_in_Sports.pdf | |
| http://www.oreilly.com/data/free/files/advancing-procurement-analytics.pdf | |
| http://www.oreilly.com/data/free/files/ai-and-medicine.pdf | |
| http://www.oreilly.com/data/free/files/analyzing-data-in-the-internet-of-things.pdf | |
| http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf | |
| http://www.oreilly.com/data/free/files/architecting-data-lakes.pdf | |
| http://www.oreilly.com/data/free/files/being-a-data-skeptic.pdf | |
| http://www.oreilly.com/data/free/files/big-data-analytics-emerging-architecture.pdf |
vedraiyani
/ 2to3_nb.py
Created
September 25, 2018 08:43
— forked from takluyver/2to3_nb.py
Run 2to3 on IPython notebooks
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| #!/usr/bin/env python3 | |
| """ | |
| To run: python3 nb2to3.py notebook-or-directory | |
| """ | |
| # Authors: Thomas Kluyver, Fernando Perez | |
| # See: https://gist.github.com/takluyver/c8839593c615bb2f6e80 | |
| import argparse | |
| import pathlib | |
| from nbformat import read, write |
vedraiyani
/ actions.action_select_contact.js
Created
April 6, 2019 14:12
— forked from miguelsaddress/actions.action_select_contact.js
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| // actions/action_select_contact.js | |
| function selectContact(contact) { | |
| return { | |
| type: 'CONTACT_SELECTED', | |
| payload: contact | |
| } | |
| } | |
| export default selectContact; |
vedraiyani
/ simple-genetic-algorithm.ipynb
Created
September 2, 2019 11:15
simple genetic algorithm.ipynb
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vedraiyani
/ data-scientists-the-5-graph-algorithms.ipynb
Created
September 7, 2019 08:16
Data Scientists, The 5 Graph Algorithms.ipynb
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vedraiyani
/ GAN.py
Created
September 23, 2019 10:25
A Simple GAN implementation with Keras and Tensorflow
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| from __future__ import print_function, division | |
| from keras.datasets import mnist | |
| from keras.layers import Input, Dense, Reshape, Flatten, Dropout | |
| from keras.layers import BatchNormalization, Activation | |
| from keras.layers.advanced_activations import LeakyReLU | |
| from keras.models import Sequential, Model | |
| from keras.optimizers import Adam |
vedraiyani
/ how-to-develop-a-1d-generative-adversarial-network-from-scratch-in-keras.ipynb
Created
September 24, 2019 09:30
How to Develop a 1D Generative Adversarial Network From Scratch in Keras.ipynb
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vedraiyani
/ generative-adversarial-network-gan.ipynb
Created
September 25, 2019 06:22
Generative Adversarial Network (GAN).ipynb
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vedraiyani
/ writing-your-first-generative-adversarial-network-with-keras.ipynb
Created
September 25, 2019 06:44
Writing your first Generative Adversarial Network with Keras.ipynb
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