3 repositorios
Awesome GitHub RepositoriesMachine Learning Demo Platforms
Specialized environments for showcasing and interacting with data-driven models in the browser.
Distinguishing note: Focuses on the interactive demo aspect of ML models rather than the training or deployment infrastructure.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Machine Learning Demo Platforms. Refine with filters or upvote what's useful.
Awesome Machine Learning Demo Platforms GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- gradio-app/gradio
gradio-app/gradio
42,931Ver en GitHubGradio is a Python library that enables the creation of interactive web applications by converting functions into browser-based interfaces. It functions as a declarative framework where developers define input and output components to automatically generate web forms, visualizations, and data-driven dashboards. By abstracting away manual web markup, the library allows for the rapid construction of interfaces for machine learning models, research demonstrations, and analytical workflows within a single environment. The platform distinguishes itself by automatically exposing internal applicatio
A specialized environment for showcasing data-driven models and analytical workflows through real-time browser-based interaction and media rendering.
Pythondata-analysisdata-sciencedata-visualization - huggingface/course
huggingface/course
3,715Ver en GitHubThis project is an educational course and learning curriculum for implementing and fine-tuning transformer models using the Hugging Face ecosystem. It serves as a structured guide and technical walkthrough for processing multimodal data, adapting pre-trained neural networks, and deploying models. The material includes a guide for managing, versioning, and distributing model weights and datasets through a centralized asset hub. It also provides a practical tutorial on adapting models to specific datasets using parameter-efficient methods and an implementation guide for solving natural language
Teaches how to build and share interactive browser-based demonstrations of machine learning models.
MDXdeep-learninghacktoberfestnlp - huggingface/hub-docs
huggingface/hub-docs
This repository serves as the documentation source for the Hugging Face Hub, a collaborative platform designed for hosting, versioning, and discovering machine learning models, datasets, and interactive applications. It provides the foundational infrastructure for managing machine learning assets through Git-based repositories, which support large file storage, branching, and comprehensive commit history. The platform distinguishes itself by integrating metadata-driven discovery and structured management systems that allow users to attach licensing, task categories, and performance metrics to
Provides interactive web-based environments for showcasing and testing machine learning models directly in the browser.
Handlebarshacktoberfestmachine-learning
