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Purdue University College of Agriculture14d
From lab to table: Purdue Food Science research predicts texture with machine learning
The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience ...
ascopubs.org7d
A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides.
Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
Visual Studio Magazine4y
Generating Synthetic Data Using a Variational Autoencoder with PyTorch
The design pattern presented here will work for most variational autoencoder data generation scenarios. If your raw data contains a categorical variable, such as "color" with possible values "red," ...
Visual Studio Magazine4y
Autoencoder Anomaly Detection Using PyTorch
The design pattern presented here will work for most autoencoder anomaly detection scenarios. If your raw data contains a categorical variable, such as "color" with possible values "red", "blue" or ...