Deep Learning, NLP, NMT, AI, ML
Stable Diffusion is a deep learning model that can generate pictures. In essence, it is a program in which you can provide input (such as a text prompt) and get back a tensor that represents an array of pixels, which, in turn, you can save as an image file. There’s no requirement that you must use a particular user interface. Before any user interface is available, you are supposed to run Stable Diffusion in code. In this tutorial, we will […]
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There are many ways you can access Stable Diffusion models and generate high-quality images. One popular method is using the Diffusers Python library. It provides a simple interface to Stable Diffusion, making it easy to leverage these powerful AI image generation models. The diffusers lowers the barrier to using cutting-edge generative AI, enabling rapid experimentation and development. This library is very powerful. Not only you can use it to generate pictures from text prompts, but also to leverage LoRA and […]
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Image by Author Collaborating on a machine learning project is a bit different from collaborating on a traditional software project. In a machine learning project, engineers are working with data, models, and source code. Additionally, they are also sharing features, model experiment results, and pipelines. You can’t just use any code-sharing platform for a machine learning project; you need to select a platform that lets you share code, resolve issues seamlessly, maintain lineage, handle data and models, provide experiment tracking […]
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Inpainting and outpainting are popular image editing techniques. You have seen how to perform inpainting and outpainting using the WebUI. You can do the same using code as well. In this post, you will see how you can use the diffusers library from Hugging Face to run Stable Diffusion pipeline to perform inpainting and outpainting. After finishing this tutorial, you will learn How to perform inpainting using the corresponding pipeline from diffusers How to understand a outpainting problem as a […]
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Image created with ChatGPT and Canva After completing a course and mastering the essentials of machine learning, it is time to start building machine learning models using real-world datasets. While accessing most real-world datasets can be expensive, platforms like Kaggle offer access to the latest datasets for free on a wide variety of machine learning tasks. In this blog, we will explore 5 free datasets that you can use to build a strong machine learning portfolio. By using these datasets, […]
Read moreBEHNAZ ARZANI: Thank you. And I’m also excited to be here. HUIZINGA: So since the show is about ideas and leans more philosophical, I like to start with a little personal story and try to tease out anything that might have been an inflection point in your life, a sort of aha moment, or a pivotal event, or an animating “what if,” we could call it. What captured your imagination and got you inspired to do what you’re doing today? […]
Read moreInteractive Quiz ⋅ 6 QuestionsBy Bartosz Zaczyński Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of the basic characteristics and operations of Python mappings. By working through this quiz, you’ll revisit the key concepts and techniques of creating a custom mapping. The quiz contains 6 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end
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One of the main data structures you learn about early in your Python learning journey is the dictionary. Dictionaries are the most common and well-known of Python’s mappings. However, there are other mappings in Python’s standard library and third-party modules. Mappings share common characteristics, and understanding these shared traits will help you use them more effectively. Take the Quiz: Test your knowledge with our interactive “Python Mappings” quiz. You’ll receive a score upon completion to help you track your learning […]
Read moreWelcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH RELEVANCE: Automatic evaluation framework for LLM responses Relevance in AI refers to the usefulness of information or actions to a specific task or query. It helps determine the accuracy, effectiveness, efficiency, and user satisfaction of content from search engines, chatbots, and other AI systems. RELEVANCE (Relevance and Entropy-based
Read moreGetting a list of all the files and folders in a directory is a natural first step for many file-related operations in Python. When looking into it, though, you may be surprised to find various ways to go about it. When you’re faced with many ways of doing something, it can be a good indication that there’s no one-size-fits-all solution to your problems. Most likely, every solution will have its own advantages and trade-offs. This is the case when it […]
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