The Best 372 Algorithms Libraries

372 Components & Libraries

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Algorithms Repositories

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

The examples will requires the following additional dependencies: imbalanced-learn is currently available on the PyPi's repositories and you can install it via `pip`: The package is release also in A…

Mycroft Core, the Mycroft Artificial Intelligence platform.

Mycroft is a hackable open source voice assistant. NOTE: The default branch for this repository is 'dev', which should be considered a work-in-progress. If you want to clone a more stable version, sw…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Other services may work as well, but I have not fully tested them: Next, run the following commands: Finally, start Jupyter: I recommend Python 3.10. If you follow the installation instructions above…

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A Mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. Machine Learning is a subfield of computer science that gives computers the ability to learn without being explic…

Distributed Evolutionary Algorithms in Python

DEAP includes the following features: We encourage you to use easy_install or pip to install DEAP on your system. Other installation procedure like apt-get, yum, etc. usually provide an outdated vers…

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.

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

The Python machine learning ecosystem has grown exponentially in the past few years, and is still gaining momentum. I suspect that many students who want to get started with their machine learning jo…

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

RQAlpha 从数据获取、算法交易、回测引擎，实盘模拟，实盘交易到数据分析，为程序化交易者提供了全套解决方案。 RQAlpha 具有灵活的配置方式，强大的扩展性，用户可以非常容易地定制专属于自己的程序化交易系统。 RQAlpha 提供了极具拓展性的 Mod Hook 接口，这意味着开发者可以非常容易的对接第三方库。您可以通过如下方式使用安装和使用Mod: 以下是目前已经集成的 Mod 列表…

common data analysis and machine learning tasks using python

This repo contains a curated list of Python tutorials for Data Science, NLP and Machine Learning.

Image augmentation library in Python for machine learning.

Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer gr…

🌊 Online machine learning in Python

Now let's run the model on the dataset in a streaming fashion. We sequentially interleave predictions and model updates. Meanwhile, we update a performance metric to see how well the model is doing. …

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Sebastian Raschka 2014-2024 To install mlxtend, just execute If you use conda, to install mlxtend just execute The mlxtend version on PyPI may always be one step behind; you can install the latest de…

A Python implementation of LightFM, a hybrid recommendation algorithm.

LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback, including efficient implementation of BPR and WARP ranking losses. It's ea…

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

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

The library is under continuous development. Feedback, bug reports and contributions are very welcome! This material is partially based upon work supported by the Defense Advanced Research Projects A…

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

Code repositories for the 1st and 2nd edition are available at to be published December 12th, 2019

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…

Python Algorithmic Trading Library

PyAlgoTrade is developed and tested using Python 2.7/3.7 and depends on: You can install PyAlgoTrade using pip like this:

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…

Python code for common Machine Learning Algorithms

Python codes for common Machine Learning Algorithms

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Welcome to the Azure Machine Learning Python SDK notebooks repository! Install additional packages as needed: This repository is a push-only mirror. Pull requests are ignored.

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. OpenSpiel supports n-player (single- and multi- agent) zero-sum, …

算法/数据结构/Python/剑指offer/机器学习/leetcode

之前的算法和数据结构基本都是用Swift写的，现在尝试用Python实现一些简单的算法和数据结构。加入leetcode部分整理如果对你有帮助，请记得点击github工程上的star，^_^ 现在总结如下：

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.

This framework allows for building, transforming, and visualizing quantum circuits. It also contains a compiler that supports different quantum computers and a common interface for running programs …

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

You can also perform direct policy learning from observational data, using the doubly robust method for offline policy learning. These methods directly predict a recommended treatment, without intern…

Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

IPython Notebook(s) and other programming tools such as Torch/Lua/D lang in demonstrating deep learning functionality. Additional PyRo tutorials: IPython Notebook(s) demonstrating scikit-learn functi…

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and become less lazy. GitHub has problem rendering Jupyter notebook so …

C++ implementation of the Python Numpy library

The random module provides simple ways to create random arrays.