Neuralhub

A playground for deep learning experimentation.

Freemium

Description

Neuralhub is a system designed to simplify working with neural networks, catering to AI enthusiasts, researchers, and engineers. It facilitates the creation, experimentation, and innovation within the AI space by providing a unified platform for deep learning tools, research, and models. The platform aims to foster a collaborative community where users can share knowledge and work together.

Neuralhub streamlines the deep learning process into distinct stages: building networks from scratch or using library components, visually tuning hyperparameters, running training processes on dedicated secure infrastructure with access to free and premium compute, and finally launching models by examining metrics, testing, benchmarking, and sharing them on the platform. The core mission is to make AI research, learning, and development more accessible and collaborative, helping users navigate the complexities and rapid advancements in the field.

Key Features

Network Building: Build neural networks from scratch or use a library of components, layers, architectures, research, and pre-trained models.
Visual Interaction: Visually see and interact with every component in the neural network.
Hyperparameter Tuning: Easily tune hyperparameters like epochs, features, and labels.
Managed Training Infrastructure: Run training on dedicated, secure ML services.
Compute Options: Access free compute as well as fast, premium GPUs.
Model Evaluation: Examine model metrics and test models on new datasets.
Benchmarking: Compare model performance against other networks.
Collaboration & Sharing: Export, share, and publish networks to the platform for community feedback.