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Multivariate dual number algebra, automatic differentiation
Symbolic differentiation for structured types with a simple DSL
Scalar-based reverse-mode automatic differentiation in TypeScript.
Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.
Automatic Differentiation for Javascript
WebAssembly bindings for Amari mathematical computing library - geometric algebra, tropical algebra, automatic differentiation, measure theory, fusion systems, and information geometry
Easy way to differentiate equations.
A replacement for setInterval() and setTimeout() which works in unfocused windows.
Contracts for aligning the Visual Differentiable Programming framework with the Automatic Differentiation Backend.
Auto-differentiation library for javascript
Node module and CLI tool for perceptual differentiation
Simple reverse mode automatic differentiation of scalar values in javascript
## Overview `autodiff-ts` is a TypeScript implementation of automatic differentiation. Automatic Differentiation (AD) [^1] is a technique for computationally determining the gradient of a function with respect to its inputs. It strikes a balance between t
A TypeScript library for symbolic mathematics inspired by SymPy, providing symbolic computation, automatic differentiation, and beautiful mathematical rendering.
Encodings that map abstract data to visual representation.
Hardware-accelerated JavaScript library for machine intelligence
NodeJS Require that let you handle module not found error without try/catch
cellular differentiation for seaport clusters
Alternative JavaScript/TypeScript runtime for ANTLR4
automatic differentiation for javascript