Gradio
|
Tags
|
Pricing model
Upvote
0
Gradio is a platform designed for developing and distributing machine learning models. It offers an easy-to-use web interface and efficient setup process for swiftly constructing and launching ML models. With Gradio, users can design interfaces for a wide range of ML applications, such as sketch recognition or time series prediction, and share these interfaces with others through a public link or consistent hosting on Hugging Face Spaces. Additionally, it can be integrated into Python notebooks or displayed as a standalone webpage.
Similar neural networks:
Upvote
0
Parea is an engineering platform that allows developers to build, test, assess, enhance, and distribute LLM-driven products to their clients. It offers features such as side-by-side prompt comparison, CSV import test cases, automated prompt optimization, and access to API and analytics. Furthermore, Parea delivers customized feature development and dedicated support.
Upvote
0
Metabob is an AI-driven tool designed for code refactoring and debugging. It leverages proprietary graph neural networks to identify issues and employs large language models (LLMs) to explain and address them. Capable of detecting numerous logical issues, it supports AI Static Code Analysis, Software Security Scanning, Autofix and Refactoring, and Project Metrics. Valued by developers, it boasts a low false positive rate, security gate integration, secrets scanning, and more. Metabob can be deployed on-premises within an organization's private cloud, focusing on problems most pertinent to your team.
Upvote
0
EarlyAI is a development tool driven by AI that autonomously creates top-notch unit tests for software developers. It seamlessly integrates with IDEs to produce detailed tests, incorporating mocks and edge cases, while enhancing code coverage. EarlyAI can be utilized by developers to conserve time, improve code quality, increase productivity, and ease the process of Test-Driven Development. This tool is advantageous for individual developers, teams, and enterprises aiming to optimize their testing procedures and deliver more dependable software swiftly.