archai
autogluon
| archai | autogluon | |
|---|---|---|
| 3 | 8 | |
| 455 | 7,124 | |
| 1.1% | 1.6% | |
| 8.3 | 9.6 | |
| 4 months ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
archai
- [D] Where is AutoML for NNs?
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Questions about reproducing DARTS code implementation
https://github.com/microsoft/archai/blob/ed2296f9b8226c49c0339244242dcef201012b95/archai/algos/darts/bilevel_optimizer_slow.py#L34 is not trivial to understand though
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?
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
autokeras - AutoML library for deep learning
sapientml - Generative AutoML for Tabular Data
auto-sklearn - Automated Machine Learning with scikit-learn
deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf