Algorithms Libraries

145 Components & Libraries

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Algorithms Libraries

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.

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…

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

In regression problems we do real value predictions. Basically we try to draw a line/plane/n-dimensional plane along the training examples. In classification problems we split input examples by certa…

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

To install the current release: Participating discussions via the following IM groups is also welcomed. Over the past few years, NNI has received thousands of feedbacks on GitHub issues, and pull req…

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, …

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…

This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.

We'd love your contributions! Kindly follow the steps below to get started: Clone the forked repository. Make changes. Stage your changes and commit

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

We start with a high level overview of some foundational concepts in numerical linear algebra. We will use the newsgroups dataset to try to identify the topics of different posts. We use a term-docu…

Open Machine Learning Course

mlcourse.ai is still in self-paced mode but we offer you Bonus Assignments with solutions for a contribution of $17/month. The idea is that you pay for ~1-5 months while studying the course materials…

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 dep…

:speech_balloon: Machine Learning Course with Python:

The purpose of this project is to provide a comprehensive and yet simple course in Machine Learning using Python. Please consider the following criterions in order to help us in a better way: We are …

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

An advanced crypto trading bot written in Python

Here are a few screenshots just to get you excited: In that case, here's what you need to know: First, you need to install Jesse from the repository instead of PyPi: Now every change you make to the …

🏋️ Python / Modern C++ Solutions of All 3140 LeetCode Problems (Weekly Update)

A Python module for learning all major algorithms

* Just type in the following command to run the tests : If you have found my softwares to be of any use to you, do consider helping me pay my internet bills. This would encourage me to create many su…

Plain python implementations of basic machine learning algorithms

If you have a favorite algorithm that should be included or spot a mistake in one of the notebooks, please let me know by creating a new issue. See the LICENSE file for license rights and limitations…

C++ implementation of the Python Numpy library

The random module provides simple ways to create random arrays.

📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.

Features: Classic compression algorithms: Normal compression algorithms: Work in progress algorithms that compare two strings as array of bits: Only pure python implementation: With extra libraries f…

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

For easier navigation into the solutions, each file with a solution in this repo will have the following template: Each solution/problem in this repo belongs to one of these categories: Collection of…

StellarGraph - Machine Learning on Graphs

Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can…

The machine learning toolkit for time series analysis in Python

There are different alternatives to install tslearn:

EPI Judge - Preview Release

EPI Judge is meant to serve as a companion to our book Elements of Programming Interviews. Specifically, this project consists of the following: Here's how to download the judge: Check out these one …

A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.

By default, Graphtage pretty-prints its output with as many line breaks and indents as possible. By default, Graphtage tries to match all possible pairs of elements in a dictionary. Matching two dict…

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…

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)

A middle-to-high level open source algorithm book designed with coding interview at heart!

All contributors (with decent amount of contributions) will be listed as authors in the project. In short, this is a middle-to-high level algorithm book designed with cracking coding interviews at he…