Deeplearning4j
TensorFlow
PyTorch
Keras
Darknet
Scikit-learn
PyCaret
TFlearn
deeplearn-rs
TensorFlow
DeepDetect
PyTorch
Hasty.ai
Supervisely
DeepPy
Keras
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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: over 2 years ago
Would recommend taking a look at dl4j: https://deeplearning4j.org. Source: almost 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: almost 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
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.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
DeepDetect - DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Darknet - Darknet is an open source neural network framework written in C and CUDA.
Hasty.ai - Humans helping machines see the world.