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Explore Meta AI’s ESM Metagenomic Atlas, protein structures, amino acids, cURL API access, and a ColabFold notebook demonstration.
Hands-on production workflows for deep learning on satellite imagery, including model export, debugging, activation heatmaps, prediction apps, and Hugging Face deployment.
Hands-on coding workshop for training and predicting deep learning models on satellite imagery with U-Net, custom loss functions, metrics, debugging, and visualization.
Hands-on Python workshop on preparing satellite imagery by patchifying, normalizing, rendering, and labeling images for model training.
Build a Gradio UI that saves and retrieves Stable Diffusion prompts, styles, and images from JSON.
Build a Python Gradio interface for Stable Diffusion with audio-to-text prompts, prompt updates, and image saving.
Build a Python Gradio interface for Stable Diffusion with prompt validation, image output, model loading, and configurable settings across UI tabs.
Develops and publishes Python libraries by implementing extensible classes, writing class-based tests, and uploading packages to PyPI.
Convert a Python application into a library by organizing its project, adding tests, creating setup.py, and building and installing a wheel package.
A step-by-step introduction to Python library development, contrasting libraries with applications and building an application through functions toward a final version.
Build a tabbed, dynamic user interface for a Python application with Gradio, coding six interface tabs and reviewing the complete source code.
Build a tabbed Gradio interface for a Python data-processing application with integrated value and category filters.
Learn to build a working Gradio GUI for a Python data application, including input components, class-based integration, and a complete interface.
Build DatasetSelector and DatasetManager classes in Python, add methods and scikit-learn support, and load datasets while handling sample-size errors.
Refactor a Python data-processing application with classes, methods, object instantiation, and scikit-learn dataset loading.
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