convolution-vision-transformers VS autogluon

Compare convolution-vision-transformers vs autogluon and see what are their differences.

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convolution-vision-transformers autogluon
2 8
210 6,984
- 3.2%
0.0 9.6
almost 3 years ago 4 days ago
Python Python
MIT License Apache License 2.0
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.

convolution-vision-transformers

Posts with mentions or reviews of convolution-vision-transformers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-16.

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.

What are some alternatives?

When comparing convolution-vision-transformers and autogluon you can also consider the following projects:

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

vit-pytorch - Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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.