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Explore large language models and ChatGPT through prompt engineering. Learn about transformer architecture, text embedding, self-attention, and key deep learning methods with practical Python examples.
Explore how ChatGPT assists in learning Rust programming, covering key concepts and practical examples through a series of guided questions and answers.
Build a Python web app for face analysis using Gradio UI, including face detection, mesh, and orientation. Learn to process webcam input and deploy to Hugging Face Space.
Hands-on workshop comparing no-code (GigaSheet) and full-code (Pandas) data analytics solutions, covering data upload, filtering, aggregation, updating, grouping, and exporting.
Introduction to Meta AI's ESM Metagenomic Atlas, exploring protein structures and their importance. Covers API usage, large language models, and practical demonstrations using various tools and resources.
Hands-on workshop on advanced deep learning techniques for satellite imagery, covering remote debugging, model deployment, activation heatmaps, and custom predictions using TensorFlow and Keras.
Hands-on deep learning workshop for satellite imagery, covering model training, debugging, prediction, and advanced techniques like custom metrics, heatmaps, and model deployment.
Hands-on workshop on data processing for satellite imagery, covering fundamentals, Python processing, image manipulation, and preparation of training data for deep learning applications.
Learn to save and retrieve prompts and images for Stable Diffusion models using Gradio. Implement a UI with dropdown lists, JSON storage, and duplication prevention for efficient prompt management.
Learn to create a Python Gradio UI for Stable Diffusion models, including audio-to-text prompts, prompt updates, and image saving functionality in this hands-on coding tutorial.
Learn to create a Python Gradio UI for Stable Diffusion models, covering UI design, prompt validation, tab creation, and integration of various functionalities in this hands-on coding tutorial.
Comprehensive guide on advanced Python library development, covering class implementation, package creation, and PyPi upload using practical examples and step-by-step instructions.
Step-by-step guide on converting a Python application to a library, covering folder structure, project setup, testing, packaging, and installation using wheel format.
Step-by-step guide on developing Python libraries, covering introduction, application conversion, and advanced concepts. Learn to create reusable code modules for efficient programming.
Learn to create dynamic user interfaces for Python applications using Gradio, with step-by-step guidance on building tabbed interfaces and practical coding examples.
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