JuliaDiff / JuliaDiff/Capstan.jl

Ideas from "First-Class Automatic Differentiation in Swift: A Manifesto"

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Dominant language
Julia
Stars
56
Forks
6
PR merge metrics
No merged PRs in 30d

Description

https://gist.github.com/rxwei/30ba75ce092ab3b0dce4bde1fc2c9f1d

@jrevels this is a very very interesting read that has some potential ideas for Julia's AD ecosystem.

@jekbradbury knows more.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Read the linked gist, then examine Capstan.jl and the Julia AD ecosystem to determine which ideas are relevant. The issue names no files, tests, entry points, or concrete acceptance criteria; it would need an agreed proposal before implementation could be considered done.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia, swift
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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