XGBoost vs AWS DeepRacer: 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 DeepRacer: The fastest way to get rolling with machine learning. Developers of all skill levels can get hands on with machine learning through a cloud based 3D racing simulator, fully autonomous 1/18th scale race car driven by reinforcement learning, and global racing league.

XGBoost can be classified as a tool in the "Python Build Tools" category, while AWS DeepRacer is grouped under "Machine Learning Tools".

Some of the features offered by XGBoost are:

• Flexible
• Portable
• Multiple Languages

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

• A fun way to learn machine learning
• Master the basics with time-trial racing
• Expand your skills with head-to-head racing

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.