Neuralhub

Neuralhub is a collaborative platform for designing, training and sharing deep learning models, described by the vendor as a playground for neural network experimentation. It is aimed at AI enthusiasts, researchers and engineers who want to build and test networks without assembling separate tooling for each step. The workflow runs in four stages. Users build a network from scratch or start from a library of common components, layers, architectures, published research and pretrained models. They then construct the network with one click, inspect each component visually, and tune hyperparameters such as epochs, features and labels. Training runs on managed machine learning services in the background, with free compute and faster premium GPUs available. Finally, users examine model metrics, test on new datasets, benchmark against other networks, and export, share or publish the finished network to the platform so others can review it and give feedback. The stated mission goes beyond tooling to building a community where learning, research and development happen in one shared space, which makes it a fit for newcomers trying to keep pace with fast moving research as well as experienced practitioners. The product is in beta, with access through a waitlist. Paid plan prices are not published. The vendor says people who subscribe for beta access will receive a free premium subscription when the paid tier launches.