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pip install remyxai - easiest way to create custom vision models
2 projects | /r/computervision | 25 Apr 2023
This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
[D] Where is AutoML for NNs?
2 projects | /r/MachineLearning | 2 Sep 2022
https://github.com/awslabs/autogluon works well for image/text/tabular data
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