mxnet.cr
autogluon
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| mxnet.cr | autogluon | |
|---|---|---|
| - | 8 | |
| 22 | 7,050 | |
| - | 2.7% | |
| 0.0 | 9.6 | |
| almost 3 years ago | 5 days ago | |
| Crystal | Python | |
| GNU General Public License v3.0 or later | 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.
mxnet.cr
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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?
grey_matter - Grey Matter is a basic artificial neural network library for Crystal.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
crystal-fann - FANN (Fast Artifical Neural Network) binding in Crystal
autokeras - AutoML library for deep learning
shainet - SHAInet - a pure Crystal machine learning library
auto-sklearn - Automated Machine Learning with scikit-learn
Cadmium - Natural Language Processing (NLP) library for Crystal
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
ai4cr - Artificial Intelligence for Crystal (based on https://github.com/SergioFierens/ai4r)
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