XGBoost vs AWS DeepLens: What are the differences?

XGBoost: Scalable and Flexible Gradient Boosting. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow; AWS DeepLens: Deep learning enabled video camera for developers. It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

XGBoost and AWS DeepLens are primarily classified as "Python Build" and "Machine Learning" tools respectively.

Some of the features offered by XGBoost are:

• Flexible
• Portable
• Multiple Languages

On the other hand, AWS DeepLens provides the following key features:

• A new way to learn machine learning
• Custom built for deep learning
• Build custom models with Amazon SageMaker

XGBoost is an open source tool with 19.5K GitHub stars and 7.64K GitHub forks. Here's a link to XGBoost's open source repository on GitHub.