Artificial-intelligence Libraries

115 Components & Libraries

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Artificial-intelligence Libraries

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

Input encrypted text, get the decrypted text back. "What type of encryption?" That's the point. You don't know, you just know it's possibly encrypted. Ciphey will figure it out for you. Ciphey can so…

🧠 Leon is your open-source personal assistant.

While I would love to devote more time to Leon, I'm currently unable to do so because I have bills to pay. I have some ideas about how to monetize Leon in the future (Leon's core will always remain …

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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…

: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 …

Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Development work has resumed on the framework with the aim of bringing it into 2020: Python 3.8+, Less Dependencies, Ease of Use (Installer, GUI) and much more! Still open-source with a permissive li…

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…

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

It's compatible with python 3. Say we want to fetch all related post titles in a stackoverflow page: Here's the output: Say we want to scrape live stock prices from yahoo finance: Now we can get the …

🚀🎬 ShortGPT - Experimental AI framework for youtube shorts / tiktok channel automation

Follow the installation steps below for running the web app locally (running the google Colab is highly recommanded). Please read "installation-notes.md" for more details. We hope you find ShortGPT h…

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…

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Click this link to open the repo in a Gitpod Workspace: Create or edit notebooks with We're building a community. Come hang out with us! We believe that the tools we use shape the way we think — bett…

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…

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

You can start with this article that I wrote in Heartbeat magazine (on Medium platform): Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, …

Carefully curated resource links for data science in one place

A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3

Hot Reloading and Profiling for Python

Running python files: Running modules:

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Effortlessly share and discuss results with non-Data users Deploy interpretability part of your project: From model training to deployment (API or Batch Mode) Shapash is intended to work with Python …

A list of resources in different fields of Computer Science

Library to scrape and clean web pages to create massive datasets.

A straightforward library that allows you to crawl, clean up, and deduplicate webpages to create massive monolingual datasets. Using this library, you should be able to create datasets larger than th…

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!

A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models! The concept of AI-Blocs is to have a simple scene with draggable objects that have scripts attached to…

✨ Argilla: Open-source platform to build better language models through human feedback

Argilla Client: a powerful Python library for reading and writing data into Argilla, using all the libraries you love (transformers, spaCy, datasets, and any other). Argilla Server and UI: the API an…

A Python package to assess and improve fairness of machine learning models.

Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system's fairness and mitigate any observed unfairness issues. Fairlearn contains mitiga…

[UNMAINTAINED] Automated machine learning for analytics & production

Automated machine learning for production and analytics auto_ml is designed for production. Here's an example that includes serializing and loading the trained model, then getting predictions on sing…

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

EvalAI is an open source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. In recent years, it has become increasingly difficult to com…

A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

An all-in-one, robust OpenAI Integration for Discord. This bot is on feature parity with ChatGPT web and even does some things slightly better! Improve this markdown, correct any spelling errors, and…

Algorithmic Trading in Python with Machine Learning

With PyBroker, you'll have all the tools you need to create winning trading strategies backed by data and machine learning. Start using PyBroker today and take your trading to the next level! Or you …

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:

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…