autogluon VS archai

Compare autogluon vs archai and see what are their differences.

autogluon

Fast and Accurate ML in 3 Lines of Code (by autogluon)
Automl Machine Learning Data Science Deep Learning ensemble-learning image-classification Computer Vision Natural Language Processing structured-data object-detection Gluon transfer-learning Pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series Forecasting
Source Code
auto.gluon.ai
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archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research. (by microsoft)
Python Pytorch Machine Learning Deep Learning neural-architecture-search Nas automated-machine-learning model-compression darts petridish hyperparameter-optimization Automl
Source Code
microsoft.github.io
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autogluon archai
8 3
7,124 455
1.6% 1.1%
9.6 8.3
6 days ago 4 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

autogluon

Posts with mentions or reviews of autogluon. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-25.

archai

Posts with mentions or reviews of archai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-02.

What are some alternatives?

When comparing autogluon and archai you can also consider the following projects:

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

autokeras - AutoML library for deep learning

only_train_once - OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

auto-sklearn - Automated Machine Learning with scikit-learn

sapientml - Generative AutoML for Tabular Data

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

makeZFS_armbian - RockPro64 Based NAS setup guide with ZFS

tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

autogluon vs FLAML archai vs nni autogluon vs autokeras archai vs only_train_once autogluon vs auto-sklearn archai vs sapientml autogluon vs nni archai vs deephyper autogluon vs imbalanced-regression archai vs makeZFS_armbian autogluon vs tabnet archai vs TensorFlow-Examples