Algorithms Libraries

142 Components & Libraries

Sortby

Algorithms Libraries

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks s…

SciPy library main repository

SciPy (pronounced "Sigh Pie") is an open-source software for mathematics, science, and engineering. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, …

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

A collection of Nayuki's program code to solve over 200 Project Euler math problems. Every solved problem has a program written in Java and usually Python. Some solutions also have Mathematica and Ha…

Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/, though this may change soon! (see https://trac.sagemath.org/ticket/30363)

This repository used to be the user-facing mirror of the Sage source tree. As Sage development migrated on 2023-02-01 from https://trac.sagemath.org/ to our new repository on GitHub, https://github.com/sagemath/sage, we have renamed and archived this repository.

This repository is for learning and understanding how algorithms work.

This repository is for learning and understanding how algorithms work. I've also added some small HTML5 / JavaScript code... and other stuff which was to small for an own repository, but more than a …

pyclustering is a Python, C++ data mining library.

Each algorithm is implemented using Python and C/C++ language, if your platform is not supported then Python implementation is used, otherwise C/C++. Implementation can be chosen by ccore flag (by de…

MapReduce, Spark, Java, and Scala for Data Algorithms Book

The book's codebase can also be downloaded from the git repository at: Thank you!

Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.

As of Jan 2021, SMQTK v0.14.0 has been deprecated. The various interfaces and implementations have been broken out into the following distinct packages which will continue to be supported instead. So…

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Lean Engine is an open-source algorithmic trading engine built for easy strategy research, backtesting and live trading. We integrate with common data providers and brokerages so you can quickly depl…

NoteBooks-Statistics-and-MachineLearning

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Notebooks as published on unsupervised-learning.com (RIP).

Python interface for igraph

igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs. This repository contains the source code to t…

The "Python Machine Learning (1st edition)" book code repository and info resource

What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning ... from theory to the actual code that you can directly put into…

Information about my experiences in cybersecurity :skull:

Information about my cybersecurity experiences ... This repository is divided by the next sections: Bibliography

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

It was last updated to a fully running version in late October, 2021. You should refer to the Jupyter Notebooks in this repository rather than the book's source code, which is badly outdated and will…

An extensive machine learning library, made from scratch (Python).

This is a machine learning library, made from scratch. It uses: It contains the following functionality: Examples are shown in two dimensions for visualisation purposes, however, all methods can hand…

:pushpin: :books: Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more.

All Algorithms implemented in Python

Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

:books: List of resources for Algorithms and Data Structures in Python & other CS topics @2017

Think Like a Programmer: An Introduction to Creative Problem Solving The Linux Command Line: A Complete Introduction Python for Beginners by Alex Bowers The Compelete Web Developer Course- Buil…

HackerRank solutions in Java/JS/Python/C++/C#

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

Solutions to assignments of the following Specializations on Coursera: NOTE: Please ★ the repo if you find it useful.

leetcode.com , algoexpert.io solutions in python and swift

I have solved quite a number of problems from several topics. See the below table for further details. BFS, DFS, Dijkstra, Floyd–Warshall, Bellman-Ford, Kruskal, Prim's…

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Popular use cases for this library include: If you work directly from this Git repo, be sure to install the dependencies as well: Then to use the library with a simple use case: We welcome people get…

source code from the book Genetic Algorithms with Python by Clinton Sheppard

Source code from the book Genetic Algorithms with Python by Clinton Sheppard Genetic algorithms are one of the tools you can use to apply machine learning to finding good, sometimes even optimal, sol…

Minimal examples of data structures and algorithms in Python

Minimal and clean example implementations of data structures and algorithms in Python 3. For running all tests write down: For running some specific tests you can do this as following (Ex: sort): For…