easytorch
autogluon
| easytorch | autogluon | |
|---|---|---|
| 1 | 8 | |
| 27 | 7,124 | |
| - | 1.6% | |
| 6.3 | 9.6 | |
| 5 months ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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easytorch
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?
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
autokeras - AutoML library for deep learning
Youtube-Code-Repository - Repository for most of the code from my YouTube channel
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).