FluxML / FluxML/FastAI.jl

Collaborative filtering example

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#255 2 comments 0 reactions 0 assignees View on GitHub
Dominant language
Julia
Stars
592
Forks
49
PR merge metrics
No merged PRs in 30d

Description

How can collaborative filtering (with probabilistic matrix factorization) be implemented with FastAI.jl? Are there any snippets of this or plans to add it soon? I haven't seen examples of this even with Flux.jl so I'm a little bit lost, only MLP and Convnets. Also, I'm learning Julia and would love to contribute to this package, If there are some hints on how to do this, I'll gladly try to implement it and open a PR.

Contributor guide

Open the contributing guide

Research direction

Start by reviewing the existing MLP and ConvNets examples in FastAI.jl and the available Flux.jl examples. Clarify whether the expected contribution is documentation, an example, or package support for probabilistic matrix factorization, and define completion before implementation.

Written by the indexing model from the issue text.

Assessment

Tech stack
julia
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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