Multimodal-Toolkit
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data (by georgian-io)
pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the ð¥PyTorch ecosystem. â Star to support our work! (by pykale)
Multimodal-Toolkit | pykale | |
---|---|---|
2 | 2 | |
603 | 457 | |
0.0% | 1.5% | |
8.2 | 8.7 | |
6 months ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Multimodal-Toolkit
Posts with mentions or reviews of Multimodal-Toolkit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-31.
- [D]Are there any good solutions for multimodal classification? Libraries, AutoML tool?
-
Classification problem with text and numerical features
A quick and dirty way of trying this is using this framework:https://github.com/georgian-io/Multimodal-Toolkit
pykale
Posts with mentions or reviews of pykale.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-25.
-
PyKale Preprint: Knowledge-Aware Machine Learning from Multiple Sources in Python [P][R]
A 10-page preprint is on arXiv to describe the green machine learning design principles behind our pipeline-based API below as well as features and examples in our PyKale library for multimodal learning and transfer learning with deep learning and dimensionality reduction on graphs, images, texts, and videos to enable and accelerate interdisciplinary research: [2106.09756] PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python (arxiv.org)
-
[P] An introduction to PyKale https://github.com/pykale/pykaleâ, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution!
Thank you LargeYellowBus for your valuable feedback! That's really helpful. It is weird to hear that the GitHub link was broken when you tried. It is here https://github.com/pykale/pykale and there have been 100+ unique visitors today. So it might be temporary on your side and you may try again.
What are some alternatives?
When comparing Multimodal-Toolkit and pykale you can also consider the following projects:
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.
autogluon - Fast and Accurate ML in 3 Lines of Code
open_flamingo - An open-source framework for training large multimodal models.
multimodal - TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
valhalla-nmt - Code repository for CVPR 2022 paper "VALHALLA: Visual Hallucination for Machine Translation"