1 dépôt
Awesome GitHub RepositoriesMulti-modal Data Preprocessing
Preparing various data formats such as text, images, and time-series for machine learning.
Distinguishing note: None of the candidates cover the unified preparation of diverse data types specifically for ML training.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Multi-modal Data Preprocessing. Refine with filters or upvote what's useful.
Awesome Multi-modal Data Preprocessing GitHub Repositories
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- lyhue1991/eat_tensorflow2_in_30_days
lyhue1991/eat_tensorflow2_in_30_days
9,933Voir sur GitHubThis project is a structured learning curriculum and technical reference for mastering deep learning with TensorFlow. It provides a comprehensive guide for building, training, and deploying neural networks, combining theoretical fundamentals with practical implementation examples. The repository distinguishes itself by covering the end-to-end machine learning workflow, from low-level tensor mathematics and linear algebra to the creation of complex model architectures. It includes specific guidance on developing data pipelines for diverse data types, such as images, text, and time-series seque
Prepares structured data, images, text, and time-series sequences for use in model training.
Pythontensorflowtensorflow-examplestensorflow-tutorial
