Based on our record, Bubble.io seems to be a lot more popular than Keras. While we know about 429 links to Bubble.io, we've tracked only 31 mentions of Keras. 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.
2. Bubble is easy for non-coders. https://bubble.io/. - Source: Hacker News / 10 days ago
Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid,... - Source: dev.to / about 1 month ago
For the second category, tools like bubble, Unqork, Glide are awesome (there are a lot more of these). But the risk is to go too far, and build something that really needs to be built at a lower layer in one of these tools. The providers of course want to push every use case, but in our view these are not a replacement for traditional software, and AI-assisted programming is a better path for dev augmentation than... - Source: dev.to / 3 months ago
Bubble — Visual programming to build web and mobile apps without code, free with Bubble branding. - Source: dev.to / 3 months ago
Try bubble. I have not used it myself but I have heard it referenced as a no code solution for what you are trying to do. There is a free version. https://bubble.io. Source: 5 months 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 / 17 days 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 / 26 days 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 / 11 months 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
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
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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.
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PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.