# Two signals with a coherent part at 10Hz and a random part s1 = np.sin(2 * np.pi * 10 * t) + nse1 s2 = np.sin(2 * np.pi * 10 * t) + nse2 ...
In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...
Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...
Machine learning models can be used in critical applications, such as hiring processes, the judicial system, credit scoring, or facial recognition systems. In these cases, it is essential to ensure ...
Unsupervised learning is a class of machine learning that involves finding patterns in unlabeled data. And clustering is an unsupervised learning algorithm that finds patterns in unlabeled data by ...
SVDD BaseEstimator based on sklearn.base for one-class or binary classification Multiple kinds of kernel functions (linear, gaussian, polynomial, sigmoid) Visualization of decision boundaries for 2D ...
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