Deeplearning4j
Keras
PyTorch
TensorFlow
TFlearn
Darknet
DeepPy
Scikit-learn
SmartPredict
Dataiku
datarobot
PyTorch
TensorFlow
R MLstudio
H2O.ai
Neural Designer
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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
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
datarobot - Become an AI-Driven Enterprise with Automated Machine Learning
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.
TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
