Data Augmentation
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GANs and SMOTE Explained with Bartending: Data Science for Machine Learning Series (1)
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Augmenting observational data with physical simulations improves the performance of AI models in scientific research.
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Extracting and structuring text elements with high accuracy using small models
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Data augmentation for data-deficient deep neural networks.
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My recipe to reach those last percents of (ac)cu(re)teness
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Bridge the gap between the simulator and real world
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Designing a single strategy with 3 datasets-MNIST, Fashion MNIST, and CIFAR 10-to achieve near SOTA…
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This blog aims to compare and familiarise with different data transformations techniques used by the…
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A way to increase the amount of data and make the model more robust
6 min read