Multimodal-Toolkit
autogluon
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| Multimodal-Toolkit | autogluon | |
|---|---|---|
| 2 | 8 | |
| 553 | 7,124 | |
| 1.8% | 3.7% | |
| 7.6 | 9.6 | |
| about 2 months ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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Multimodal-Toolkit
- [D]Are there any good solutions for multimodal classification? Libraries, AutoML tool?
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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
autogluon
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pip install remyxai - easiest way to create custom vision models
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
- autogluon: NEW Data - star count:5070.0
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[D] Where is AutoML for NNs?
https://github.com/awslabs/autogluon works well for image/text/tabular data
- k-fold bagging in Autogluon - Tabular
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What will the data science job market be like in 5 years?
Some AutoML is getting pretty good, AutoGluon is very solid for tabular data. That being said you still need to have your data in tabular format and deployment still requires some effort.
What are some alternatives?
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
transformers - ð€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
autokeras - AutoML library for deep learning
Transformers4Rec - Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
auto-sklearn - Automated Machine Learning with scikit-learn
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!
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
multimodal - TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
automlbenchmark - OpenML AutoML Benchmarking Framework