Welcome to PrototypeML

Overview

Neural network architectures are most often conceptually designed and described in visual terms, but are implemented by writing error-prone code. PrototypeML is a machine learning development environment that bridges the gap between the design and development processes: it provides a highly intuitive visual neural network design interface that supports the full capabilities of the PyTorch deep learning framework, reduces model design and development time, makes debugging easier, and automates many framework and code writing idiosyncrasies.

In-depth

Read our preprint paper:
PrototypeML: A Neural Network Integrated Design and Development Environment