Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
Pastebin.com
CodePen
GitHub
hastebin
GitHub Gist
PrivateBin
JustPaste.it
JSFiddle
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Based on our record, Pastebin.com seems to be a lot more popular than Keras. While we know about 2057 links to Pastebin.com, we've tracked only 32 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.
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 / 26 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
Pastebins make me nostalgic. I’m told they existed well before the web in the IRC days. The first notable one I remember, Pastebin.com, was created in 2002 by Paul Dixon, introducing features like syntax highlighting and private pastes. Believe it or not, it’s still going strong today. The latest incarnation I remember using recently was PostBin (clever: Pastebin for Webhooks). It made testing “web callbacks”... - Source: dev.to / 2 months ago
When you get something started feel free to put your code on pastebin.com or gist.github.com and share a link for feedback/help. Source: 7 months ago
Either use pastebin or Github for formatting and paste a link. Source: 7 months ago
You'll have to use a site like https://pastebin.com/ so I can see it too. My guess is that you did not install the mod I linked or that you haven't succesfully followed my steps. Start again from the beginning. Source: 7 months ago
Pastebin.com was still reliable last time I tried it. Source: 7 months ago
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.
CodePen - A front end web development playground.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
hastebin - Pad editor for source code.