pytorch-widedeep
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jrzaurin
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
Would it be possible to embed several texts at the same time (using the same, or possibly different text models)? Im working on a medical problem, different doctors evaluate different...
In DeepInterestNetwork, there is a target attention between a candidate feature (one column) and a sequence feature, how to implement this target attention in this repo, which can be considered...
Hello, may I ask which part of the project code should I modify if I want to use image and text features extracted by other models.
Hi！ If I want to use clip to extract image and text features, can I use this library to train clip together？
Thank you for creating such a wonderful open-source project. I have a few questions: 1. In my past projects, I didn't have labeled data, so I used TabNet (https://github.com/dreamquark-ai/tabnet) for...
The pytorch_frame library natively handles categorical variables where the variable may take on multiple categories simultaneously, e.g. row1 = [1, .5, ['a', 'b', 'c']], row2 = [2, .3, ['a']] ......
tab_trainer = Trainer( model=tab_model, objective="binary", optimizers=torch.optim.Adam(tab_model.parameters(), lr=0.001), metrics=[Accuracy, Precision, F1Score, Recall], seed=random_state_tmp, # 使用相同的随机种子 device="cuda" ) I selected CUDA for the device here, but it still runs slowly.GPU usage shows...
I install pytorch-widedeep with "!pip install pytorch-widedeep" When it comes to training the model, the program is restarted (including Google Colab and Kaggle). import pytorch_widedeep, i got this warning: *...
HELLO，The datasets used by your columns are all small datasets, such as movelens100k. If I use the movelens1M dataset, the processing speed of image data will be slow and errors...
some of the internal functionalities to save the model will fail when using pytotch 2.6 ``` E _pickle.UnpicklingError: Weights only load failed. This file can still be loaded, to do...
