Search Results for "full stack framework"

Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. ...

DaNNet is a C++ deep neural network library using the Armadillo library as a base. It is intended to be a small and easy to use framework with no other dependencies than Armadillo. It uses independent layer-wise optimization giving you full flexibility to train your network.

SDCF is an extensible and highly configurable sensor data collection framework for Android. The SDCF library provides a full configurable service to collect different sensor data (accelerometer, gsm, wifi, network and gps, light, temperature etc.) on a mobile android device. The data is stored in a local database (on the device) and can be transmitted to a remote host periodically (serialized to XML, and optionally packed into an rsa-encrypted archive).