patrick-kidger / patrick-kidger/diffrax

Hypersolvers

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feature
Dominant language
Python
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Description

Hypersolvers are learnt solvers, as per https://arxiv.org/abs/2007.09601.
See also their implementation in https://github.com/DiffEqML/torchdyn

Contributor guide

Open the contributing guide

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

Start by reading the linked hypersolver paper and the torchdyn implementation referenced in the issue. No Diffrax files or tests are named, so first identify the relevant solver entry points and existing tests; done means hypersolvers are integrated into Diffrax with appropriate coverage.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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