Quiz: Ruff: A Modern Python Linter

Interactive Quiz ⋅ 6 QuestionsBy Geir Arne Hjelle Share Or copy the link: Copied! Happy Pythoning! In this quiz, you’ll test your understanding of Ruff, a modern linter for Python. By working through this quiz, you’ll revisit why you’d want to use Ruff to check your Python code and how it automatically fixes errors, formats your code, and provides optional configurations to enhance your linting. The quiz contains 6 questions    

Read more

Ruff: A Modern Python Linter for Error-Free and Maintainable Code

Linting is essential to writing clean and readable code that you can share with others. A linter, like Ruff, is a tool that analyzes your code and looks for errors, stylistic issues, and suspicious constructs. Linting allows you to address issues and improve your code quality before you commit your code and share it with others. Ruff is a modern linter that’s extremely fast and has a simple interface, making it straightforward to use. It also aims to be a […]

Read more

5 Free Resources for Understanding Neural Networks

Image by Author Deep learning models achieve state-of-the-art performance in several computer vision and natural language processing tasks. If you want to become proficient in deep learning, you should first understand how neural networks work and then proceed to explore the different types and neural network architectures for specific tasks. To help you get started, we’ve compiled a list of free resources—a mix of books, interactive tutorials, and video lectures—that’ll help you learn all about neural networks. The resources are […]

Read more

Transformers vs RNN – A Detailed Comparison

Introduction Recurrent Neural Networks (RNN) and Transformers have emerged as two popular deep learning models, especially in the field of Natural Language Processing (NLP). Although research on RNNs goes back to the 1980s the Transformer research paper first came out in 2017 only and its models have become highly successful in recent times. In this post, we will compare Transformers vs RNN and understand their similarities and differences point-wise. Recurrent Neural Networks (RNN) Recurrent Neural Networks (RNN) are a type […]

Read more

Running Stable Diffusion with Python

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 […]

Read more

Further Stable Diffusion Pipeline with Diffusers

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 […]

Read more

5 Free Platforms to Collaborate on Machine Learning Projects

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 […]

Read more

Inpainting and Outpainting with Diffusers

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 […]

Read more

5 Free Datasets to Start Your Machine Learning Projects

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 more

Ideas: Solving network management puzzles with Behnaz Arzani

BEHNAZ 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 more
1 2 3 880