remyxai-cli
autogluon
| remyxai-cli | autogluon | |
|---|---|---|
| 2 | 8 | |
| 2 | 7,201 | |
| - | 2.7% | |
| 5.2 | 9.6 | |
| about 1 month ago | 3 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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.
remyxai-cli
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Automate Image Processing with Remyx AI
To address this, we've combined the Remyx AI command-line interface (CLI) with Hugging Face transformer agents. The agent simplifies processing images efficiently and privately.
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pip install remyxai - easiest way to create custom vision models
Fair point, our API docs are here: https://remyx.ai/api/docs.html CLI access is here: https://github.com/remyxai/remyxai-cli
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?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
autokeras - AutoML library for deep learning
auto-sklearn - Automated Machine Learning with scikit-learn
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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
pytorch-metric-learning - The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
shapley - The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Awesome-Federated-Learning - FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data