cnn-in-welding VS autogluon

Compare cnn-in-welding vs autogluon and see what are their differences.

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cnn-in-welding autogluon
1 8
42 7,152
- 1.6%
1.8 9.6
over 3 years ago about 18 hours ago
Python Python
- 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.

cnn-in-welding

Posts with mentions or reviews of cnn-in-welding. We have used some of these posts to build our list of alternatives and similar projects.

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 cnn-in-welding and autogluon you can also consider the following projects:

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

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

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

autokeras - AutoML library for deep learning

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

auto-sklearn - Automated Machine Learning with scikit-learn

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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.