Skip to main content

Comprehensive AI Toolkit for Multimodal Learning and Cross-Platform Robotics.

Project description

Discord QQ群 python Documentation Status

Comprehensive AI Toolkit for Multimodal Learning and Cross-Platform Robotics

Welcome to iamai, a powerful and comprehensive AI toolkit that seamlessly integrates multimodal machine learning capabilities with advanced tools for cross-platform robot development!

🌍 This library is designed to provide developers with a unified solution for creating intelligent systems that span multiple modalities and operate across diverse platforms.

  • 🎪 Interactive docs & demos
  • 🕶 Seamless migration: Works for both Rasa and GPT and more...
  • Fully tree shakeable: Only take what you want, bundle size
  • 🔩 Flexible: Configurable event filters and targets
  • 🔌 Optional Add-ons: Apscheduler, etc.
  • 👍 Cross-platform: dingtalk etc.

First of all, in the field of machine learning, we drew inspiration from the excellent design of Hugging Face's transformers 🤗 for the use of pre-trained models. We would like to express our gratitude to the authors of Hugging Face and their open-source community.

Secondly, regarding the cross-platform robot framework, it is primarily based on st's alicebot. We have made numerous adaptations to make it compatible with machine learning. We would like to thank the st and alicebot open-source communities for their contributions.

To avoid any potential disputes or misunderstandings, we have listed the licenses of the projects we have used and express our gratitude towards them. please see credits.md.


MIT © 2023-PRESENT Retro for Wut?.

FOSSA Status

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iamai-0.0.3a3.tar.gz (28.7 kB view details)

Uploaded Source

Built Distribution

iamai-0.0.3a3-py3-none-any.whl (33.1 kB view details)

Uploaded Python 3

File details

Details for the file iamai-0.0.3a3.tar.gz.

File metadata

  • Download URL: iamai-0.0.3a3.tar.gz
  • Upload date:
  • Size: 28.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: pdm/2.12.2 CPython/3.10.12

File hashes

Hashes for iamai-0.0.3a3.tar.gz
Algorithm Hash digest
SHA256 2139979be81283daf396d7427ca45be8b5017ad6b9199bfec2205e771b64b892
MD5 56d06d003fad0cc8a67691b25f7e2f1d
BLAKE2b-256 7a48be3a1c0b0149ec9f7ccf8394d1518f169b40e28e252a9507d0e52d72b4ed

See more details on using hashes here.

File details

Details for the file iamai-0.0.3a3-py3-none-any.whl.

File metadata

  • Download URL: iamai-0.0.3a3-py3-none-any.whl
  • Upload date:
  • Size: 33.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: pdm/2.12.2 CPython/3.10.12

File hashes

Hashes for iamai-0.0.3a3-py3-none-any.whl
Algorithm Hash digest
SHA256 c29e8e00e25465b7904187f9a1abb4eddfd9ed1e09e51220ddec832e02e21e5e
MD5 b970cf935deec66c406e0ef08480368e
BLAKE2b-256 b65479dabbdde475aaa27b25f7b7115de3605437cd3ddfa1f029fa4ff1003c0b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page