Algorithm Libraries

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

Each challenge has one or more reference solutions that are: Notebooks also detail: Great for use while on-the-go. Unit tested, fully functional implementations of the following data structures: Unit…

Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or webUI. It contains backtesting, plotting and …

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…

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…

Python codes for robotics algorithm. This is a Python code collection of robotics algorithms. Features: Easy to read for understanding each algorithm's basic idea. Widely used and practical algorithm…

Zipline currently supports Python 2.7, 3.5, and 3.6, and may be installed via either pip or conda. The following code implements a simple dual moving average algorithm. You can then run this algorith…

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…

Recent released features Features released before 2021 are not listed here. Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, …

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, …

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…

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…

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

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 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…

An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. We t…

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 …

© 2016 - current, Randal S. Olson This is a repository of teaching materials, code, and data for my data analysis and machine learning projects. Be sure to check the documentation (usually in IPython…

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 …

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 such softwares :)

QuantStats: Portfolio analytics for quants ========================================== Here's an example of a simple tear sheet analyzing a strategy: Output: Output: You can create 7 different report …

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…

Python codes for common Machine Learning Algorithms

This repo is public facing and exists for the sole purpose of providing users with an easy way to raise bugs, feature requests, and other issues. MlFinlab python library is a perfect toolbox that eve…

The random module provides simple ways to create random arrays.