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RecNN Environment Package created

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@awarebayes awarebayes released this 30 Aug 09:39
· 114 commits to master since this release

RecNN Environment Package created

  1. At this point, I have removed all the junk code from the notebooks, allowing you to focus on the implementation.
    Code was moved over to following packages: Debugger, Plotter, Optimizers (only Radam copy for now), Models (Actor, Critic, bcqGenerator, bcqPerturbator), DataLoader. Learning functions for the models are coming next release.
  2. Copyrighted ML20M dataset was completely removed, I implemented custom DataLoader that natively supports ml20m dataset and others with a similar data structure. As of now, it only supports pandas, however, Dask + Numba support will be added

As of now, this repo is in Alpha stage. Next things I am working on:

  1. Seamless reco-gym [github.com/criteo-research/reco-gym] integration
  2. LSTM versions of algorithms
  3. Advanced BCQ VAE generator implementation with autoregressive normalizing flows