Calculus Open Source Projects

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📊 Path to a free self-taught education in Data Science!

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Programming Language Theory λΠ

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

List of Science courses with video lectures

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Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

文章《Functional Programming For The Rest of Us》的中文翻译

Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way

Softcopy of Engineering Books. If you want a book{s} to be taken down, please contact me.

Forward Mode Automatic Differentiation for Julia

Quantitative Interview Preparation Guide, updated version here ==>

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

Math Parser: Java, C#, C++, Kotlin, Android, and all .NET platforms (Nuget, Maven, CMake). Supports .NET Framework, .NET Core, .NET Standard, Xamarin, and more. Features: rich built-in library of math functions, operators, constants. Flexible in user-defined arguments, functions. Expressions provided as plain text. Easy to use. Well documented.

A List of Foundational Haskell Papers

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

Agent is an attempt at modelling Go-like concurrency, in Ruby

Power calculator for Android. Solve some problem algebra and calculus.

A repo for the pre-course work at home exercises

Do maths like a normal person

a symbolic math expression evaluator for javascript

Set of 📝 with 🔗 to help those who are Data Science beginners 🤖

Metaprogramming in Coq

Your no-nonsense guide to the Math used in Artificial Intelligence

Python library for quantum circuit rewriting and optimisation using the ZX-calculus

A Flock of Functions: Combinators, Lambda Calculus, & Church Encodings in JS

➗ A really micro micro-service for advanced math.

⌨ Importable dictionary for typing math symbols more easily on your Android phone by using keyboard shortcuts inspired by LaTeX

Example code for Understanding Computation

A virtual reality tool for mathematical modeling!

Application of formal systems to model biological systems

The Emmy Computer Algebra System.

Collection of papers

Homepage for CSC417: Physics-based Animation

:coffee: Symja - computer algebra language & symbolic math library. A collection of popular algorithms implemented in pure Java.

Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX.

List of resources & possible pathway for the Math of Machine Learning and AI.

This is the companion curriculum to my guide to becoming a data scientist.

An experimental computer algebra system written in Go

Proof assistant based on the λΠ-calculus modulo rewriting

Cedille, a dependently typed programming languages based on the Calculus of Dependent Lambda Eliminations

Reverse Mode Automatic Differentiation for Julia

The Hindley Milner Type Inference Algorithm

Complete path for a beginner to become a Machine Learning Scientist!

Calculus functions in Julia

Symbolic Geometric Algebra/Calculus package for SymPy :crystal_ball:

VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers

😎 📜 Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.

Scalable symbolic-numeric set computations in Julia

Curated list to learn the math basics for machine learning

Computator.NET is a special kind of numerical software that is fast and easy to use but not worse than others feature-wise. It's features include: - Real and complex functions charts - Real and complex calculator - Real functions numerical calculations including different methods - Over 107 Elementary functions - Over 141 Special functions - Over 21 Matrix functions and operations - Scripting language with power to easy computations including matrices - You can declare your own custom functions with scripting language

An awesome list of resources for specific science, technology, engineering, art, and math (STEAM) classes that students and teachers can use to supplement their learning

The adventures of a Haskell compiler