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| class Sentence(str): | |
| """A simple iterable sentence class. | |
| Methods: | |
| def __init__(self, text): ... | |
| def __repr__(self): ... | |
| def __str__(self): ... | |
victor-iyi
/ lines-of-code.py
Last active
June 5, 2019 20:30
Improved estimation of how many lines of codes are in a project (using recursion)
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| """Improved estimation of how many lines of codes are in a project (using recursion) | |
| @author | |
| Victor I. Afolabi | |
| Director of AI, NioCraft, 115Garage. | |
| Email: javafolabi@gmail.com | |
| GitHub: https://github.com/victor-iyiola | |
| @project | |
| File: lines-of-code.py |
victor-iyi
/ tree-traversal.py
Created
April 10, 2018 11:04
Traversing a nested list to estimate it's shape or dimension
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| # Shape = 2x3 | |
| a = [ | |
| [1, 2, 3], | |
| [4, 5, 6] | |
| ] | |
| # Shape = 2x3x2 | |
| b = [ | |
| [[1, 1], [2, 2], [3, 3]], | |
| [[4, 4], [5, 5], [6, 6]] |
victor-iyi
/ word2vec.py
Created
November 4, 2017 00:45
Preprocessing class for textual dataset. Converts words to vector representations
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| """ | |
| @author Victor I. Afolabi | |
| A.I. Engineer & Software developer | |
| javafolabi@gmail.com | |
| Created on 28 October, 2017 @ 9:55 PM. | |
| Copyright © 2017. Victor. All rights reserved. | |
| """ |
victor-iyi
/ dataset.py
Last active
December 14, 2017 14:13
Dataset class for pre-processing images, text, word vectorization dataset
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| """ | |
| @author Victor I. Afolabi | |
| A.I. Engineer & Software developer | |
| javafolabi@gmail.com | |
| Created on 02 November, 2017 @ 11:24 PM. | |
| Copyright © 2017. Victor. All rights reserved. | |
| """ | |
| import datetime as dt |
victor-iyi
/ linear_model.py
Created
September 13, 2017 12:57
LinearRegression with Gradient Descent Algorithm.
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| """ | |
| @author Victor I. Afolabi | |
| A.I. Engineer & Software developer | |
| javafolabi@gmail.com | |
| Created on 25 August, 2017 @ 8:15 PM. | |
| Copyright © 2017. victor. All rights reserved. | |
| """ | |
| import numpy as np |
victor-iyi
/ fibonacci.py
Created
August 27, 2017 14:19
Explore 4 different implementations of Fibonacci algorithm
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| ### PROGRAMMING FIBONACCI NUMBERS FROM BEGINNER TO EXPERT | |
| ### Method: 1 | |
| print('Method: 1') | |
| def fibonacci(no): | |
| series = [1,1] | |
| for _ in range(1, no-1): | |
| series.append(series[-1] + series[-2]) | |
| return series |
victor-iyi
/ cart_pole.py
Created
August 27, 2017 14:14
A trained deep neural net capable of playing the OpenAI's cart pole game 😎
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| import gym | |
| import random | |
| import numpy as np | |
| import tflearn | |
| from tflearn.layers.core import input_data, dropout, fully_connected | |
| from tflearn.layers.estimator import regression | |
| from statistics import mean, median | |
| from collections import Counter | |
| LR = 1e-3 |
victor-iyi
/ curse-of-dimensionality.py
Created
August 27, 2017 14:10
Estimate how long to brute force 1000 possible weights to train a Neural network
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| import numpy as np | |
| time_taken_for_one_weight = 0.04 | |
| weights_to_try = 1000 | |
| weights_in_net = 8 # for 1 layer | |
| one_year = 3600*24*365 | |
| years_to_train = time_taken_for_one_weight*(weights_to_try**weights_in_net)/one_year | |
| print('{:,}'.format(years_to_train)) |
victor-iyi
/ permutation.py
Created
July 7, 2017 12:00
Search list of reasonable words in a scrambled collection of letter
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| from nltk.corpus import wordnet | |
| import threading | |
| from queue import Queue | |
| from datetime import datetime | |
| import time | |
| class WordSearch: | |
| def __init__(self): | |
| self.combo = set() |
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