Welcome to UnityPredict

Introduction to the Console

The UnityPredict Console is designed to provide users with a centralized interface for managing AI models, building complex solutions, and organizing workflows. This page provides an overview of the key sections of the console.

1. Dashboard

The Dashboard is the starting point for users, offering analytics on model usage and earnings. It allows builders to track the performance of their models over time and monitor financial returns.

2. Model Central

Model Central is a comprehensive directory of all public models hosted on UnityPredict. Users can browse through available models, which are contributed by the community, and integrate them into more complex AI solutions. This section also facilitates model discovery and comparison.

3. My Repositories

In this section, users can manage repositories, which are organizational units for grouping models. Models within a repository can have specific access controls, allowing users to set permissions for collaborators or organizations. This feature is critical for managing ownership and collaboration on models.

4. Organization Management

Organization Management enables the creation and management of repositories and access control for users within an organization. This section allows for the organization of teams, with granular permissions for different repositories. Users can also create public-facing websites for their organization to showcase and market solutions built on UnityPredict.

5. Models & Engines

This section describes the fundamental concept around Models & Engines and how to host AI solutions on UnityPredict.

6. Profile

The Profile section allows users to manage their personal account settings. This includes updating API keys, adding credits for compute usage, and handling balance transfers. It also includes security settings and notifications.

7. API & SDK

UnityPredict provides comprehensive APIs and SDKs for developers to integrate AI models into their applications. The UnityPredict API documentation covers REST API endpoints for making predictions, while the Python Client provides a convenient Python package for easy integration.