DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
The perfect companion for your Kotlin journey - Inspired by functional, data-oriented and concurrent programming
Building a modern functional compiler from first principles.
EOLANG, an Experimental Pure Object-Oriented Programming Language Based on 𝜑-Calculus
Forward Mode Automatic Differentiation for Julia
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.
Wolfram Language / Mathematica reimplementation in Rust (Wolfram oxidized)
Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.
Canonical sources for HOL4 theorem-proving system. Branch develop is where “mainline development” occurs; when develop passes our regression tests, master is merged forward to catch up.
a symbolic math expression evaluator for javascript
Python library for quantum circuit rewriting and optimisation using the ZX-calculus
⟨Grassmann-Clifford-Hodge⟩ differential geometric algebra
Michael Spivak's Calculus formalized in Lean 4: every theorem and every problem of all 30 chapters and 9 appendices, in both the 3rd and 4th editions