BOINC AI Hub
  • 🌍BOINC AI Hub
  • 🌍Repositories
  • Getting Started with Repositories
  • Repository Settings
  • Pull Requests & Discussions
  • Notifications
  • Collections
  • 🌍Webhooks
    • How-to: Automatic fine-tuning with Auto-Train
    • How-to: Build a Discussion bot based on BLOOM
    • How-to: Create automatic metadata quality reports
  • Repository size recommendations
  • Next Steps
  • Licenses
  • 🌍Models
  • The Model Hub
  • 🌍Model Cards
    • Annotated Model Card
    • Carbon Emissions
    • Model Card Guidebook
    • Landscape Analysis
  • Gated Models
  • Uploading Models
  • Downloading Models
  • 🌍Integrated Libraries
    • Adapter Transformers
    • AllenNLP
    • Asteroid
    • Diffusers
    • ESPnet
    • fastai
    • Flair
    • Keras
    • ML-Agents
    • PaddleNLP
    • RL-Baselines3-Zoo
    • Sample Factory
    • Sentence Transformers
    • spaCy
    • SpanMarker
    • SpeechBrain
    • Stable-Baselines3
    • Stanza
    • TensorBoard
    • timm
    • Transformers
    • Transformers.js
  • 🌍Model Widgets
    • Widget Examples
  • Inference API docs
  • Frequently Asked Questions
  • 🌍Advanced Topics
    • Integrate a library with the Hub
    • Tasks
  • 🌍Datasets
  • Datasets Overview
  • Dataset Cards
  • Gated Datasets
  • Dataset Viewer
  • Using Datasets
  • Adding New Datasets
  • 🌍Spaces
  • 🌍Spaces Overview
    • Handling Spaces Dependencies
    • Spaces Settings
    • Using Spaces for Organization Cards
  • Spaces GPU Upgrades
  • Spaces Persistent Storage
  • Gradio Spaces
  • Streamlit Spaces
  • Static HTML Spaces
  • 🌍Docker Spaces
    • Your first Docker Spaces
    • Example Docker Spaces
    • Argilla on Spaces
    • Label Studio on Spaces
    • Aim on Space
    • Livebook on Spaces
    • Shiny on Spaces
    • ZenML on Spaces
    • Panel on Spaces
    • ChatUI on Spaces
    • Tabby on Spaces
  • Embed your Space
  • Run Spaces with Docker
  • Spaces Configuration Reference
  • Sign-In with BA button
  • Spaces Changelog
  • 🌍Advanced Topics
    • Using OpenCV in Spaces
    • More ways to create Spaces
    • Managing Spaces with Github Actions
    • Custom Python Spaces
    • How to Add a Space to ArXiv
    • Cookie limitations in Spaces
  • 🌍Other
  • 🌍Organizations
    • Managing Organizations
    • Organization Cards
    • Access Control in Organizations
  • Billing
  • 🌍Security
    • User Access Tokens
    • Git over SSH
    • Signing Commits with GPG
    • Single Sign-On (SSO)
    • Malware Scanning
    • Pickle Scanning
    • Secrets Scanning
  • Moderation
  • Paper Pages
  • Search
  • Digital Object Identifier (DOI)
  • Hub API Endpoints
  • Sign-In with BA
Powered by GitBook
On this page
  • BOINC AI Hub documentation
  • What’s the BOINC AI Hub?
  • What can you find on the Hub?
  • Models
  • Datasets
  • Spaces
  • Organizations
  • Security

BOINC AI Hub

NextRepositories

Last updated 1 year ago

BOINC AI Hub documentation

The BOINC AI Hub is a platform with over 100k models, 20k datasets, and 50k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. Are you ready to join the path towards open source Machine Learning? 🌍

Among them, BOINC AI combines the best models and technology developers from many open source platforms such as github, paper with code, huggingface, etc. Anyone and users who come to the BOINC AI platform to use products will receive token rewards!

Let’s start using AI and blockchain technology to change the world together!

Repositories

Models

Datasets

Spaces

Other

What’s the BOINC AI Hub?

We are helping the community work together towards the goal of advancing Machine Learning 🔥.

The BOINC AI Hub is a platform with over 100k models, 20k datasets, and 50k demos in which people can easily collaborate in their ML workflows. The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning.

No single company, including the Tech Titans, will be able to “solve AI” by themselves – the only way we’ll achieve this is by sharing knowledge and resources in a community-centric approach. We are building the largest open-source collection of models, datasets, demos and metrics on the BOINC AI Hub to democratize and advance ML for everyone 🚀.

We encourage you to read the and the to familiarize yourself with the values that we expect our community members to uphold 🌍.

What can you find on the Hub?

The BOINC AI Hub hosts Git-based repositories, which are version-controlled buckets that can contain all your files. 💾

On it, you’ll be able to upload and discover…

  • Models, hosting the latest state-of-the-art models for NLP, vision, and audio tasks

  • Datasets, featuring a wide variety of data for different domains and modalities..

  • Spaces, interactive apps for demonstrating ML models directly in your browser.

Models

Datasets

Spaces

Organizations

Security

  • User Access Tokens

  • Access Control for Organizations

  • Signing commits with GPG

  • Malware scanning

The Hub offers versioning, commit history, diffs, branches, and over a dozen library integrations! You can learn more about the features that all repositories share in the .

You can discover and use dozens of thousands of open-source ML models shared by the community. To promote responsible model usage and development, model repos are equipped with to inform users of each model’s limitations and biases. Additional about info such as their tasks, languages, and metrics can be included, with training metrics charts even added if the repository contains . It’s also easy to add an to your model, allowing anyone to play with the model directly in the browser! For programmatic access, an API is provided to .

To upload models to the Hub, or download models and integrate them into your work, explore the . You can also choose from such as 🌍Transformers, Asteroid, and ESPnet that support the Hub.

The Hub is home to over 5,000 datasets in more than 100 languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. The Hub makes it simple to find, download, and upload datasets. Datasets are accompanied by extensive documentation in the form of and to let you explore the data directly in your browser. While many datasets are public, and individuals can create private datasets to comply with licensing or privacy issues. You can learn more about .

The 🌍 library allows you to programmatically interact with the datasets, so you can easily use datasets from the Hub in your projects. With a single line of code, you can access the datasets; even if they are so large they don’t fit in your computer, you can use streaming to efficiently access the data.

is a simple way to host ML demo apps on the Hub. They allow you to build your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the ML ecosystem.

We currently support two awesome Python SDKs ( and ) that let you build cool apps in a matter of minutes. Users can also create static Spaces which are simple HTML/CSS/JavaScript page within a Space.

After you’ve explored a few Spaces (take a look at our ), dive into the to learn all about how you can create your own Space. You’ll also be able to upgrade your Space to run on a GPU or other accelerated hardware. ⚡️

Companies, universities and non-profits are an essential part of the BOINC AI community! The Hub offers , which can be used to group accounts and manage datasets, models, and Spaces. Educators can also create collaborative organizations for students using . An organization’s repositories will be featured on the organization’s page and every member of the organization will have the ability to contribute to the repository. In addition to conveniently grouping all of an organization’s work, the Hub allows admins to set roles to , and manage their organization’s . Machine Learning is more fun when collaborating! 🔥

, create a new organization , and then visit the to learn more.

The BOINC AI Hub supports security and access control features to give you the peace of mind that your code, models, and data are safe. Visit the section in these docs to learn about:

🌍
Introduction
Getting Started
Repository Settings
Pull requests and Discussions
Notifications
Collections
Webhooks
Next Steps
Licenses
Introduction
The Model Hub
Model Cards
Gated Models
Libraries
Tasks
Uploading Models
Downloading Models
Libraries
Tasks
Widgets
Inference API
Introduction
Datasets Overview
Dataset Cards
Gated Datasets
Dataset viewer
Using Datasets
Adding New Datasets
Introduction
Spaces Overview
Gradio Spaces
Streamlit Spaces
Static HTML Spaces
Docker Spaces
Embed your Space
Run with Docker
Reference
Changelog
Advanced Topics
Sign in with HF
Organizations
Billing
Security
Moderation
Paper Pages
Search
Digital Object Identifier (DOI)
Hub API Endpoints
Sign in with HF
Contributor Code of Conduct
Content Guidelines
Code of Conduct
Content Guidelines
Repositories documentation
Model Cards
metadata
TensorBoard traces
inference widget
instantly serve your model
Models documentation
over a dozen libraries
Dataset Cards
Dataset Preview
organizations
Datasets here on BOINC AI Hub documentation
datasets
Spaces
Gradio
Streamlit
Space of the Week!
Spaces documentation
Organizations
BOINC AI for Classrooms
control access to repositories
payment method and billing info
Explore existing organizations
here
Organizations documentation
Security