The Best 370 Algorithms Libraries

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🐍 Hand-picked awesome Python libraries and frameworks, with an emphasis on data and machine learning, organised by category

Hand-picked awesome Python libraries and frameworks, with an emphasis on data and machine learning, organised by category 🐍 Updated 27 Feb 2024 Code quality tooling: linters, formatters, pre-commit h…

This repository contains mini projects in machine learning with notebook files

This repository contains mini projects in machine learning with jupyter notebook files. Go to the projects folder and see the readme for detailed instructions about the projects.

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,…

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

To demo some of Otto's core features, try out the following: And feel free to get creative! Come up with your own machine learning goals and see where Otto takes you. Below is a step-by-step breakdow…

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…

This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Faisal and Cheng Ong, written in python for Jupyter Notebook.

This companion provides implementations of figures found throughout Chapters 2 through 7, as well as additional outlines of concepts or additional figures which seemed fitting based on the context. F…

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

Use any of the following services. On Linux, unless you know what you are doing, you should use your system's packaging system. For example, on Debian or Ubuntu, type: Installing Anaconda, should ins…

State-of-the art Automated Machine Learning python library for Tabular Data

Classifier: Regression: DataPrepare: Simple Models Wrapper: More examples in the folder ./examples: It integrates many popular frameworks: Run

Algorithms And DataStructure Implemented In Python, Java & CPP, Give a Star 🌟If it helps you

Data structures & algorithms are an essential part of programming. They both fall under the fundamentals of computer science. Understanding these gives us the advantage of writing better and mor…

Musicpy is a music programming language in Python designed to write music in very handy syntax through music theory and algorithms.

Have you ever thought about writing music with codes in a very concise, human-readable syntax? Musicpy is a music programming language in Python designed to write music in very handy syntax through m…

A Python framework for program synthesis with a focus on Automated Machine Learning.

Technically speaking, AutoGOAL is a framework for program synthesis, i.e., finding the best program to solve a given problem, provided that the user can describe the space of all possible programs. A…

My work on CS50's "Introduction to Artificial Intelligence with Python".

This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recog…

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

Source code for Algorithmic Trading with Python (2020) by Chris Conlan. These stand-alone resources can be useful to researchers with or without the accompanying book. The rest of the material in thi…

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Clone and set up ARES 2.0 via the following commands: If you derive value from ARES 2.0 in your endeavors, kindly cite our paper on adversarial robustness, which encompasses all models, attacks, and…

Machine learning in Python with scikit-learn MOOC

A few different ways are available:

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

(PDF versions may be slightly outdated) BetaML currently implements: By unit:

Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

maml (MAterials Machine Learning) is a Python package that aims to provide useful high-level interfaces that make ML for materials science as easy as possible. a) Bispectrum coefficients b) Behler Pa…

A simple Python debugger and profiler that generates animated visualizations of program flow, useful for algorithm learning.

A simple Python debugger and profiler that generates animated visualizations of program flow. It is meant to help with learning algorithms by allowing you to visualize what the algorithms are doing. …

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:

Artificial Intelligence with Python Cookbook, published by Packt

With artificial intelligence (AI) systems, we can develop goal-driven agents to automate problem-solving. This involves predicting and classifying the available data and training agents to execute ta…

Data Structures and Algorithms in Python

AI projects in python, mostly Jupyter notebooks.

A curated list of Best Artificial Intelligence Resources

Artificial Intelligence with Python Second Edition, published by Packt

🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.

NBA sports betting using machine learning

A machine learning AI used to predict the winners and under/overs of NBA games. Takes all team data from the 2007-08 season to current season, matched with odds of those games, using a neural network…

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

All the functionalities are grouped under a user-friendly API. To ensure proper installation, run unit tests as: Running tests on cpu can take up to 20mn. The output can be then visualized with: If y…

An open-source, low-code machine learning library in Python

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the ex…

Python, Machine Learning, Deep Learning and Data Science Books

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

For example: Recommended versions: