m.maheri
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Melu_L2L_hyperTunning
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20 Commits (030e40e851e74405d17de252fbce1245a6c6aadb)

Author SHA1 Message Date
  mohamad maheri c701e2c338 only consider positive interaction for task embedding 2 years ago
  mohamad maheri 5273533fc8 Revert "deep kmeans loss" 2 years ago
  mohamad maheri 07bb1cd89a check result of hyper tuning (best_result1) 2 years ago
  mohamad maheri 3a3b256e65 Revert "prepare for hyper parameter tuning" 2 years ago
  mohamad maheri b4d130e28e deep kmeans loss 2 years ago
  mohamad maheri dc38c4018f tanp loss (kl loss) 2 years ago
  mohamad maheri acacb68d33 tanp loss (kl loss) 2 years ago
  mohamad maheri d425ba0c97 cluster loss (try to hard assignment) 2 years ago
  mohamad maheri 576c0e97f2 prepare for hyper parameter tuning 2 years ago
  mohamad maheri d2d5563db1 prepare for hyper parameter tuning 2 years ago
  mohamad maheri 908149d81b task encoder consider item's score 2 years ago
  mohamad maheri d9e027a938 user clustering effects prediction network's weights 2 years ago
  mohamad maheri 01b24e10bf generic algorithms and parameters 3 years ago
  mohamad maheri a23a4ec823 generic algorithms and parameters 3 years ago
  mohamad maheri a9d1772942 other hyper parameters 3 years ago
  mohamad maheri 153f3b982f prepare to run on a cpu 3 years ago
  mohamad maheri a4e913f57a GBML + some optimization for cuda memory 3 years ago
  mohamad maheri 0d298f3f31 melu by l2l + MetaSGD + second oreder 3 years ago
  mohamad maheri 14e32e0afc melu by l2l + MetaSGD 3 years ago
  mohamad maheri 00555ed067 melu by l2l + MetaSGD 3 years ago