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Discover ChatGPT's versatility: from creative writing to code translation, essay composition to virtual Linux machine simulation. Learn practical applications for beginners in this comprehensive tutorial.
Comprehensive overview of Hugging Face's ML ecosystem, covering its company background, key products, and tools for NLP and machine learning, suitable for beginners without coding.
Explore interpretable machine learning with Python, covering LIME and SHAP techniques for explainable AI. Learn why ML explainability matters and how to implement it in your projects.
Learn to create stunning ggplot2 bar charts in R, from basic techniques to advanced theming. Master data cleaning, chart customization, and professional visualization using real-world crime data.
Comprehensive guide to DALL-E 2: text-to-image generation, image variations, editing, and saving. Covers basics for beginners with practical demonstrations and tips.
Learn to build multi-page Python web apps with Streamlit's new native support. Covers setup, demo, project structure, code walkthrough, page reordering, and live app creation.
Learn to build a YouTube video summarizer using Python, Hugging Face ASR, and text summarization techniques. Covers audio extraction, speech-to-text conversion, and transcript summarization with live demo.
Learn to build a GitHub Stars History Tracker using Python and Streamlit. Create an end-to-end web app that visualizes repository star data, from design to deployment on Streamlit Cloud.
Comprehensive overview of recent AI advancements, including updates from major tech companies, new AI models, and emerging technologies in voice, vision, and language processing.
Comprehensive overview of recent AI advancements, including new models, tools, and industry developments. Covers a wide range of topics from audio generation to LLM applications and ethical considerations.
Explore Hugging Face's new Transformers Agents API for natural language-driven multimodal tasks, including image generation and text-to-speech, with extensible tools and practical examples.
Explore LLaVA, a cutting-edge open-access multimodal AI model. Learn about its capabilities, live demo, GitHub repository, research papers, and available models on Hugging Face.
Learn to create personalized AI avatars using LORA, a faster Stable Diffusion fine-tuning method. Explore efficient model adaptation, small file sizes, and improved performance on Google Colab.
Explore a comparison of three cutting-edge AI image captioning models, analyzing their performance across diverse images and understanding their unique approaches to vision-language tasks.
Fine-tune Stable Diffusion 2.0 with DreamBooth on free Google Colab. Create custom AI avatars and profile pictures. Learn data collection, processing, model training, inference, and conversion for Automatic1111 compatibility.
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