Need advice about which tool to choose?Ask the StackShare community!
Torch vs Cortex.dev: What are the differences?
Torch: An open-source machine learning library and a script language based on the Lua programming language. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation; Cortex.dev: Deploy machine learning models in production. It is an open source platform that takes machine learning models—trained with nearly any framework—and turns them into production web APIs in one command.
Torch and Cortex.dev belong to "Machine Learning Tools" category of the tech stack.
Some of the features offered by Torch are:
- A powerful N-dimensional array
- Lots of routines for indexing, slicing, transposing
- Amazing interface to C, via LuaJIT
On the other hand, Cortex.dev provides the following key features:
- Autoscaling
- Supports TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost, and more
- CPU / GPU support
Torch and Cortex.dev are both open source tools. It seems that Torch with 8.42K GitHub stars and 2.34K forks on GitHub has more adoption than Cortex.dev with 1.42K GitHub stars and 69 GitHub forks.