Amazon Personalize vs Deepo: What are the differences?
Amazon Personalize: Real-time personalization and recommendation. Machine learning service that makes it easy for developers to add individualized recommendations to customers using their applications; Deepo: A Docker image containing almost all popular deep learning frameworks. Deepo is a Docker image with a full reproducible deep learning research environment. It contains most popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.
Amazon Personalize belongs to "Machine Learning as a Service" category of the tech stack, while Deepo can be primarily classified under "Machine Learning Tools".
Deepo is an open source tool with 4.92K GitHub stars and 578 GitHub forks. Here's a link to Deepo's open source repository on GitHub.