E3nn

Visit Tool

e3nn is an Open Source AI Frameworks & Infra tool that provides a modular framework for neural networks with Euclidean symmetry. It helps in the development of E(3) equivariant neural networks.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is e3nn?

e3nn is an open-source, modular framework designed to facilitate the development of neural networks with Euclidean symmetry. It provides fundamental mathematical operations such as tensor products and spherical harmonics, essential for building E(3) equivariant neural networks. The library is under active development, with breaking changes indicated by version number increments. It is recommended to install using pip, and users can contribute to its development or seek help through discussions and bug reports on GitHub. The framework is backed by research papers on Euclidean Neural Networks and e3nn itself, with BibTeX entries available for citation.

Best used for

Ideal for developers and data scientists who need to build E(3) equivariant neural networks, implement fundamental mathematical operations like tensor products, and work with spherical harmonics. Especially valuable for academic research and advanced machine learning applications requiring specific symmetry properties.

Common actions

develop neural networks

implement Euclidean symmetry

perform tensor operations

collaborationworkflowsopen-sourcelow-code/no-codeautomated workflowdeepfakegithub copilot"AI Agents"face swapping

Capabilities

Key features

Euclidean symmetry neural networks
E(3) equivariant neural networks
Tensor products
Spherical harmonics
Modular framework

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of neural networks can be developed with e3nn?

e3nn is specifically designed for developing neural networks that exhibit Euclidean symmetry, also known as E(3) equivariant neural networks. This framework provides the necessary mathematical operations to build models that are robust to rotations and translations in 3D space.

How do I install e3nn?

To install e3nn, you should first install PyTorch. After PyTorch is set up, you can install e3nn using pip with the command `pip install --upgrade e3nn`. Detailed instructions and optional dependencies are available in the INSTALL.md file.

Is e3nn suitable for production environments?

e3nn is under active development, and the main branch is considered unstable. While it provides powerful tools for research and development, users should be aware that breaking changes can occur. It is recommended to install specific versions using pip for more stable use.

Trending

Subcategories trending in AI Agents & Automation

Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants RAG & Document AI Voice Agents

Trending

Also listed in

This tool also appears in

Coding & Development › Open Source & Models Research & Education › Scientific Computing

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce