Based on our record, NVIDIA DIGITS seems to be more popular. It has been mentiond 2 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.
I'm not quite sure if this is the place to ask it, but I'll give it a shot. Several years ago, during my PhD, I used to train small CNNs using NVIDIA DIGITS tool (https://developer.nvidia.com/digits), that is basically a frontend to tasks such as build datasets, configure training parameters, follow real time training data (epochs), test classification and export training for usage. This is a oversimplified... Source: over 1 year ago
Also frameworks which make moving to multiGPU easy, like DIGITS: https://developer.nvidia.com/digits. Source: almost 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Knet - Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.
Lobe - Visual tool for building custom deep learning models
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Apple Machine Learning Journal - A blog written by Apple engineers
Floyd - Heroku for deep learning