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TorchEnsemble-Community/Ensemble-Pytorch
question about expected speedup when using parallelization via joblib

Hi, I came across your repository while searching for ways to train multiple NN models simultaneously using 1 single GPU. My model is pretty small (just 1 layer MLP) and the VRAM used more each model ...
  • nguyentr17
  • 3
  • Opened 
    on Dec 4, 2024
  • #169

TorchEnsemble-Community/Ensemble-Pytorch
can not fine-tuning after reload the model weights

n_bases=2 softGBM = SoftGradientBoostingRegressor( estimator=MLP, n_estimators=n_bases, shrinkage_rate=1.00, cuda=True ...
  • wubizhi
  • 6
  • Opened 
    on Sep 24, 2024
  • #168

TorchEnsemble-Community/Ensemble-Pytorch
Getting Embeddings from the base model

Hey everyone! I ve been learning Torchensemble, and I wanted to know how you can extract the embeddings before the final classification layer. Here is my ensemble model: VotingClassifier( (base_estimator_): ...
  • desertSniper87
  • 4
  • Opened 
    on Apr 19, 2024
  • #165

TorchEnsemble-Community/Ensemble-Pytorch
How to support multi gpus when fitting the ensemble models?

I need to solve cuda out of memory..
  • TIMEXue
  • 1
  • Opened 
    on Oct 18, 2023
  • #158

TorchEnsemble-Community/Ensemble-Pytorch
Bug in AdversarialTrainingClassifier

I use the following code to implement adversarial classifier on cifar100 transform_train_cifar = transforms.Compose([ transforms.RandomCrop(32, padding=4), transforms.RandomHorizontalFlip(), ...
  • antonioo-c
  • Opened 
    on Sep 24, 2023
  • #157

TorchEnsemble-Community/Ensemble-Pytorch
number of estimators?

Hi Thanks for your good library. Can you tell me how multiple estimators made from one model in this library from one data? is there any function for specially for this purpose?
  • maxwell1386
  • 3
  • Opened 
    on Sep 7, 2023
  • #156

TorchEnsemble-Community/Ensemble-Pytorch
custom built optimizer for `set_optimizer`

I am trying to run BaggingRegressor with a custom built optimizer. But it seems it s not currently supported. So, I am doing the following import torch import torch.nn as nn import torch.optim as optim ...
  • hmishfaq
  • 1
  • Opened 
    on Jul 9, 2023
  • #154

TorchEnsemble-Community/Ensemble-Pytorch
Supporting bootstrap sampling as in sklearn

I am trying to convert a sklearn based code that uses sklearn.ensemble.BaggingRegressor and am wondering if Ensemble-pytorch can have bootstrap argument as sklearn has.
  • hmishfaq
  • 3
  • Opened 
    on Jul 9, 2023
  • #153

TorchEnsemble-Community/Ensemble-Pytorch
Using pretrained models directedly at decision level.

Is the a way to use the libaray for pretrained model? suppose that I have 4 alreay trained models, and I want to just ensemble them.. Is there a way to do that ?
  • opencomvis
  • 1
  • Opened 
    on Jun 13, 2023
  • #151

TorchEnsemble-Community/Ensemble-Pytorch
different learners

This project cannot integrate different learners, only the same learners?
  • zhizhuaa
  • Opened 
    on May 29, 2023
  • #150
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