Neuralhub

Neuralhub offers a four-stage workflow: Build, Tune, Run, and Launch. In the Build stage, users can construct a neural network from scratch or use a library of common components, layers, architectures, novel research, and pre-trained models. The Tune stage allows one-click construction and visual interaction with every component, with easy tuning of hyperparameters such as epochs, features, and labels. The Run stage provides dedicated ML services to host and train AI securely, with access to free compute and premium GPUs. Finally, the Launch stage enables examining model metrics, testing on new datasets, benchmarking, and exporting, sharing, and publishing networks for feedback.

Neuralhub is suitable for AI enthusiasts, researchers, and engineers who want to experiment with deep learning. It provides a unified space for learning, research, and development, facilitating collaboration. Users can build networks from scratch or use existing components, tune hyperparameters, train models with free or premium compute, and finally launch and share their networks with the community for feedback.

The page mentions that the beta version has been released and users can join the waitlist for new updates. It also states that users will have access to free compute as well as fast and premium GPUs, but does not provide specific pricing details.