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Awesome GitHub RepositoriesFeature Caching
Storing preprocessed feature vectors to avoid redundant computations during repeated inference calls.
Distinct from Data Preprocessing: Distinct from general data preprocessing by focusing on the persistence and reuse of transformed features for performance.
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Awesome Feature Caching GitHub Repositories
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- autogluon/autogluon
autogluon/autogluon
9,997Auf GitHub ansehenAutoGluon is an automated machine learning framework and multimodal library designed to automate the end-to-end pipeline from data preprocessing to high-accuracy model training and validation. It functions as an automated model trainer for tabular, image, text, and time series data, as well as a tool for time series forecasting and foundation model finetuning. The project is distinguished by its ability to jointly process and fuse different data types, allowing for the construction of multimodal neural networks that integrate images, text, and structured tables. It supports zero-shot inferenc
Stores transformed data to skip the preprocessing stage during repeated prediction calls.
Pythonautogluonautomated-machine-learningautoml
