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Name: JuliaDiff
Type: Organization
Bio: Differentiation Tools in Julia
Name: JuliaDiff
Type: Organization
Bio: Differentiation Tools in Julia
An abstract interface for automatic differentiation.
A Julia style guide that lives in a blue world
A Cassette-based automatic differentiation package for the Julia language
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Helpers for declaring ChainRules
Tools to help generate operator overloads based on ChainRules
Utilities for testing custom AD primitives.
Next-generation AD
A package which provides an API for querying differentiation results at multiple orders simultaneously
A simple shared suite of common derivative definitions
A common suite of test functions for stressing the robustness of differentiation tools.
The Documenter Theme for the ChainRules family of packages. But you can use it too
Julia package for representing dual numbers and for performing dual algebra
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
Forward Mode Automatic Differentiation for Julia
Julia implementation of HyperDualNumbers
Reverse Mode Automatic Differentiation for Julia
Fast jacobian computation through sparsity exploitation and matrix coloring
Taylor-mode automatic differentiation for higher-order derivatives
Taylor polynomial expansions in one and several independent variables.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.