Neuralhub is a system that makes working with neural networks easier, helping AI enthusiasts, researchers, and engineers to create, experiment, and innovate in the AI space. We provide tools, libraries, and a playground where they can design and build new AI architectures.
Stage 1 - DESIGN: Design a neural network from scratch or use our library of common network components, layers, architectures, novel research, and pre-trained models to experiment and build something of your own. Stage 2 - BUILD: Run and construct your neural network with one click. Visually see and interact with every component in the network. Easily tune hyperparameters such as epochs, features, labels, and much more. Stage 3 - RUN: Sit back and watch the AI learn or let it train in the background. We run dedicated ML services in the background to host and train your AI securely. You will have access to free compute as well as fast and premium GPUs. Stage 4 - LAUNCH: Examine the model metrics, test it on new datasets, and benchmark it against other networks. Finally, you'll have the capability to export, share, and publish your network to the platform for others to check out and provide feedback!
Designing neural networks from scratch
Using pre-built network components
Experimenting with novel research
Visualizing and interacting with network components
Tuning hyperparameters
Running and training AI securely
Access to free compute and premium GPUs
Evaluating model metrics
Testing and benchmarking against other networks
Exporting, sharing, and publishing networks
