The Best 58 Artificial intelligence Libraries

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Artificial intelligence Repositories

PandasAI is a Python library that integrates generative artificial intelligence capabilities into pandas, making dataframes conversational

Try out PandasAI in your browser: PandasAI is designed to be used in conjunction with pandas. It makes pandas conversational, allowing you to ask questions to your data in natural language. For examp…

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

The 4th edition of the book as out now in 2020, and thus we are updating the code. All code here will reflect the 4th edition. Changes include: Features from Python 3.6 and 3.7 that we will be using …

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…

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…

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…

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.

AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.

AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses a…

A python chatbot framework with Natural Language Understanding and Artificial Intelligence.

Building a chatbot can sound daunting, but it’s totally doable. AI Chatbot Framework is an AI powered conversational dialog interface built in Python. With this tool, it’s easy to create Natural Lang…

Artificial intelligence for the Snake game.

We use two metrics to evaluate the performance of an AI: Test results (averaged over 1000 episodes): Run unit tests:

Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one.

Over the past few months, I've tried to spend a couple of hours every day understanding this field, be it watching Youtube videos or undertaking projects. I've been guided by older peers who've had f…

A curated list of Best Artificial Intelligence Resources

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

在本系列中，你可能会接触到数据挖掘、机器学习、深度学习、自然语言处理、人工智能等很多的概念。值得说明的是，鉴于很多的算法实现是以文字结合代码介绍为最佳，因此工具实践篇中的大部分内容是以 Juypter Notebook 的形式放在该仓库中，并且在 Colab 中进行浏览、编辑与实验。 1956 年，几个计算机科学家相聚在达特茅斯会议，提出了“人工智能”的概念，梦想着用当时刚刚出现的计算机来构造…

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Change detection based on remote sensing (RS) data is an important method of detecting changes on the Earth’s surface and has a wide range of applications in urban planning, environmental monitoring,…

:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

Python artificial intelligence framework for games

Additionally you will need to install Numpy to be able to run some of the examples. Let us define the rules of a game and start a match against the AI: Result: Let us now solve the game: These comput…

Code repository for Artificial Intelligence with Python, published by Packt

During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn h…

DataScience_ArtificialIntelligence_Utils

Examples of Data Science projects and Artificial Intelligence use-cases

Artificial-Intelligence-And-Data-Science-Pro

Regularly Updated | Collection of the best Data Science and AI Material from the Web | Covering Everything from Books, Courses along with Material, Research Papers, and Interview Prep to Cheatsheet

This repository aims to collect all the best data science / ai material available on the web from different sources to boost up learning for everyone including me and not to worry, it is Regularly Up…

Python Artificial Intelligence Projects for Beginners, published by Packt

Artificial Intelligence (AI) is the newest technology that’s being employed among varied businesses, industries, and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI pro…

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

The official code repository supporting the book, Grokking Artificial Intelligence Algorithms

Rather Learn by exploring the code notebook in your browser? Click here: Clone this repository. Navigate to the directory that contains the repository using terminal/console/command line. Run this co…

Downloads for my Safari Online Learning live training course Python Data Science Full Throttle: Introductory Artificial Intelligence (AI), Big Data and Cloud Case Studies

In the meantime, for this course, I will use the Mastodon open-source federated social media network for the data mining social media examples. The easiest way to run most of the code examples is to …

Recycle your plastic better with Artificial Intelligence ♻️

Recycle your plastic better with Artificial Intelligence ♻️ Training a specific model is hard, the model always gets things wrong. So if it does, we give the user an opportunity to tell us what the r…

Resources for the study group in IIT Guwahati focused on learning Artificial Intelligence.

This repository is dedicated to Python courses with a focus on artificial intelligence, data science, and practical machine learning. I have been conducting these courses in various levels since 2021.

This repository is dedicated to Python courses with a focus on Artificial Intelligence, Data Science, and practical Machine Learning. I have been conducting these courses in various levels since 2021…

AI projects in python, mostly Jupyter notebooks.

Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks

For future releases, we plan to add more functionalities, such as: The following optional dependencies can be installed to enable additional functionality: Regionalization is a process of dividing a …

:unlock: :key: :closed_lock_with_key: Origami: Artificial Intelligence as a Service

Origami is an AI-as-a-service that allows researchers to easily convert their deep learning models into an online service that is widely accessible to everyone without the need to setup the infrastru…