Collaborative filtering example
- 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
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