cnn-in-welding
autogluon
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 |
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cnn-in-welding
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Detecting Welding Defects in Steel Plates using Computer Vision Algorithms
The dataset contains two directories. The raw images are stored in images directory and the segmented images are stored in labels directory.
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?
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.