keon/algorithms

Algorithms and Design Patterns

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Python
License
MIT License
Created over 7 years ago
Updated 15 days ago

keon/algorithms

keon

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Minimal examples of data structures and algorithms in Python

Pythonic Data Structures and Algorithms

Minimal and clean example implementations of data structures and algorithms in Python 3.

Contributing

Thanks for your interest in contributing! There are many ways to contribute to this project. Get started here

Tests

Use unittest

For running all tests write down:

$ python3 -m unittest discover tests

For running some specific tests you can do this as following (Ex: sort):

$ python3 -m unittest tests.test_sort

Use pytest

For running all tests write down:

$ python3 -m pytest tests

Install

If you want to use the API algorithms in your code, it is as simple as:

$ pip3 install algorithms

You can test by creating a python file: (Ex: use merge_sort in sort)

from algorithms.sort import merge_sort

if __name__ == "__main__":
    my_list = [1, 8, 3, 5, 6]
    my_list = merge_sort(my_list)
    print(my_list)

Uninstall

If you want to uninstall algorithms, it is as simple as:

$ pip3 uninstall -y algorithms

List of Implementations

Contributors

Thanks to all the contributors who helped in building the repo.

awesome-nlp

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awesome-bits

💻 A curated list of awesome bitwise operations and tricks

deep-q-learning

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seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

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Technical experimentations to beat the stock market using deep learning 📈

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Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

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Pointer Networks Implementation in Keras

pytorch-exercises

Pytorch exercises

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speed

Learning To Predict Vehicle Speed From A Video

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CodeGAN

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks :octocat:

keras-text-classification

Text classification using Convolutional Neural Networks (CNN)

deeptravel

🚗 Solving Traveling Salesman Problem (TSP) using Deep Learning

deep-nlp

[In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch

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intro-to-blockchain

Introduction To Building Blockchain And Cryptocurrency In JavaScript

text-wgan

Improved Training of Wasserstein GANs for Text Generation

Seq2Seq-Tensorflow

[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks

encdec

Basic RNN Encoder Decoder in Tensorflow

NMT

[In-Progress] A command-line tool for Neural Machine Translation in Python & Tensorflow

deep-api

deep learning algorithm web api services using tensorflow, flask, react and redux

keon.github.io

😎 personal blog

deepsort

Deep Learning the Sorting Algorithm

cpp-pytorch

C++ PyTorch Examples

keras-autocomplete

Autocompleting the code using Basic LSTM

seq2seq-wgan

Improved Training of Wasserstein GANs for Neural Machine Translation

modori

💬 Natural Language Processing Web API Using Python Flask and Konlpy

language-model

RNN Language Modeling with PyTorch

synapse

💥 An easy-to-use JavaScript neural network library

sentiment

intro-to-dapp

houston

🚀 rocket base program using Arduino + Node.js + Socket.io

pytorch-rwa

[In-Progress] Recurrent Weighted Average Implementation in Pytorch

Jupyter Notebook

text-classification

foresight

nlp

goblinhipsters

doremi.fm

🎼 [UNMAINTAINED] doremi.fm prelaunch page

neuralnet

A simple neural net in C++

cg

Computer Graphics

feedbee

SSB-Gang

docs

advnlp

terminal

cppalgorithms

Minimal C++ Data Structures and Algorithms for Reference