Based on our record, Jekyll should be more popular than Keras. It has been mentiond 182 times since March 2021. 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.
Today I decided to try and update the Jekyll theme for this site, Chirpy. If you've watched the blog or gone to this blog's status page you probably noticed it was down for a few hours today. Needless to say, things didn't go as planned. It turns out that the last time I tried to update/recreate the blog site I chose the Chirpy Starter option instead of the Github Fork option, and in trying to update it the whole... - Source: dev.to / about 1 month ago
A basic marketing site built-on Jekyll and hosted via Cloudflare Pages. - Source: dev.to / about 2 months ago
This blog is running on Hugo. It had previously been running on Jekyll. Both these SSGs ship with the ability to create excerpts from your markdown content in 1 line or thereabouts. - Source: dev.to / 4 months ago
We also take a look into static site generators, covering Astro, Nuxt, Hugo, Gatsby, and Jekyll. We take a detailed look into their usability, performance, and community support. - Source: dev.to / 4 months ago
In that case, what we need would be closer to a static site generator (like Gatsby, Hugo, Jekyll). But, static site generators aren't the best choice either because we would have to build a lot of documentation-focused functionality (like versioning, search, and code blocks) ourselves. - Source: dev.to / 5 months ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 21 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 3 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year 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.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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.