EyeJS
QUnit
Ava
Chai
react-testing-library
Jasmine
Sinon.JS
Enzyme
Deeplearning4j
Keras
PyTorch
TensorFlow
TFlearn
Darknet
DeepPy
Scikit-learn
EyeJSBased on our record, Deeplearning4j seems to be more popular. It has been mentiond 4 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.
While KotlinDL seems to be a good solution by Jetbrains, I would personally stick to Java frameworks like DL4J for a better community support and likely more features. Source: almost 3 years ago
Would recommend taking a look at dl4j: https://deeplearning4j.org. Source: about 3 years ago
We use DeepLearning4j in this chapter because it is written in Java and easy to use with Clojure. In a later chapter we will use the Clojure library libpython-clj to access other deep learning-based tools like the Hugging Face Transformer models for question answering systems as well as the spaCy Python library for NLP. Source: about 3 years ago
FastAPI. Or even simpler: DL4J, to be used in Java when we need to communicate with the rest of the applications in real time. Source: about 3 years ago
QUnit - What is QUnit? QUnit is a powerful, easy-to-use JavaScript unit testing framework. It's used by the jQuery, jQuery UI and jQuery Mobile projects and is capable of testing any generic JavaScript code, including itself!
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Ava - Making conversations accessible for the deaf
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Chai - Chai is a BDD / TDD assertion library for node and the browser that can be delightfully paired with any javascript testing framework.
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.