Jekyll might be a bit more popular than PyTorch. We know about 195 links to it since March 2021 and only 133 links to PyTorch. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The static site generator (SSG) landscape is crowded with feature-rich but increasingly complex solutions. As I looked at and used tools like lume, 11ty, lektor, or jekyll, I found myself drowning in configuration options, plugins, and middleware. What started as a simple desire to convert Markdown content into HTML had evolved into learning complex frameworks with steep learning curves. - Source: dev.to / 26 days ago
If you don't want to use Jekyll as your static site generator for GitHub Pages and you want to have a custom domain for your GitHub Pages. This post is for you! - Source: dev.to / 4 months ago
Jekyll is a static site generator that transforms Markdown files into a fully functional website. Everything is generated into plain HTML, which makes it simple to deploy on platforms like GitHub Pages. - Source: dev.to / 4 months ago
Obviously, there are a dozen choices for generating static websites (efficiently and quickly), from the classic Jekyll to the new Next.js. And you are good to go with any of them as long as your confident with it. I choose 11ty because:. - Source: dev.to / 5 months ago
In your repository settings you need to turn on GitHub Pages to make it pull Jekyll content (that's the magic✨ default GitHub Pages build tool) from your GitHub repository. - Source: dev.to / 11 months ago
To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 1 month ago
Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
Hugo - Hugo is a general-purpose website framework for generating static web pages.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.