To a first approximation, the fastai library is to PyTorch as Keras is to TensorFlow. One significant difference is that PyTorch doesn’t officially support fastai. Of all the excellent machine ...

which started preferring the flexibility PyTorch offered a few years ago, resulting in a decline in the use of TensorFlow in research papers. The Keras affair has not helped either. Keras became ...

The short explanation for this is that Keras is a bit simplistic and too slow for the demands that most deep learning practitioners have. PyTorch is still growing, while TensorFlow’s growth has ...

Google TensorFlow, Theano, PyTorch, scikit-learn and Caffe. Most neural network libraries are written in C++ for performance but have a Python API for convenience. In this article I'll show you how to ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

The catalog has a collection of models based on popular frameworks such as Tensorflow, PyTorch, Keras, XGBoost and Scikit-learn. Each of the models is packaged in a format that can be deployed in ...