248 packages matching “differentiation”
differentiation
v1.0.1 · 9 years ago
Easy way to differentiate equations.
No known vulnerabilities
@thi.ng/dual-algebra
v1.0.48 · 23 days ago
Multivariate dual number algebra, automatic differentiation
No known vulnerabilities
adnn
v2.0.10 · 8 years ago
Javascript neural networks on top of general scalar/tensor reverse-mode automatic differentiation.
No known vulnerabilities
@danielsimonjr/mathts-autograd
v0.3.13 · 1 month ago
Forward + reverse-mode automatic differentiation for MathTS rank-N Tensor
No known vulnerabilities
autodiff
v2.0.3 · 8 years ago
A Javascript library for performing automatic differentiation
No known vulnerabilities
@tangent.to/grad
v0.2.0 · 14 days ago
Reverse-mode automatic differentiation for JavaScript (ESM): array-valued tape, linear-algebra adjoints (Cholesky, triangular solve, log-determinant). Finite-difference validated.
No known vulnerabilities
@stopcock/autodiff
v2.1.0 · 18 days ago
Reverse-mode automatic differentiation for scalar, vector, and matrix values.
No known vulnerabilities
ad.js
v1.4.1 · 11 years ago
Automatic Differentiation for Javascript
No known vulnerabilities
@casadi/casadi-wasm
v3.8.1 · 1 day ago
CasADi — symbolic framework for algorithmic differentiation and numerical optimization, compiled to WebAssembly. Runs in Node.js with on-demand solver plugins (ipopt, fatrop, sundials, ...).
No known vulnerabilities
scalar-autograd
v0.1.9 · 8 months ago
Scalar-based reverse-mode automatic differentiation in TypeScript.
No known vulnerabilities
autograd-ts
v0.1.5 · 2 months ago
A tiny reverse-mode automatic differentiation engine in TypeScript
No known vulnerabilities
@justinelliottcobb/amari-wasm
v0.24.1 · 1 month ago
WebAssembly bindings for Amari mathematical computing library - geometric algebra, tropical algebra, automatic differentiation, measure theory, fusion systems, and information geometry
No known vulnerabilities
@johnhenry/math-plus-tensor-autograd
v0.0.0 · 26 days ago
Reverse-mode automatic differentiation over @johnhenry/math-plus-tensor-core Tensors
No known vulnerabilities
worker-timers
v8.0.34 · 1 month ago
A replacement for setInterval() and setTimeout() which works in unfocused windows.
No known vulnerabilities
@intentsolutionsio/wondelai-obviously-awesome
v1.0.3 · 3 months ago
Product positioning framework for competitive differentiation
No known vulnerabilities
simplegrad
v1.0.0 · 4 years ago
Simple reverse mode automatic differentiation of scalar values in javascript
No known vulnerabilities
@quantabit/account-type-sdk
v1.0.5 · 2 months ago
QuantaBit Account Type SDK - Account type management and role differentiation
No known vulnerabilities
@citation/csl-style-differentiation
v1.0.0 · 2 years ago
CSL style for Differentiation
No known vulnerabilities
adnn.ts
v1.0.1 · 2 years ago
adnn provides TypeSafe Javascript-native neural networks on top of general scalar/tensor reverse-mode automatic differentiation. You can use just the AD code, or the NN layer built on top of it. This architecture makes it easy to define big, complex numer
No known vulnerabilities
@galihru/lapla
v1.0.0 · 1 year ago
Step-by-step symbolic differentiation and Laplace transforms
No known vulnerabilities