imbalanced-regression
autogluon
Our great sponsors
| imbalanced-regression | autogluon | |
|---|---|---|
| 1 | 8 | |
| 757 | 7,050 | |
| - | 2.7% | |
| 1.8 | 9.6 | |
| about 2 years ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
imbalanced-regression
-
[R] Strategies and Tactics for Regression on Imbalanced Data
Code (+ dataset + models): https://github.com/YyzHarry/imbalanced-regression
autogluon
-
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
-
[D] Where is AutoML for NNs?
https://github.com/awslabs/autogluon works well for image/text/tabular data
- k-fold bagging in Autogluon - Tabular
-
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?
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
pneumonia_detection - Pneumonia Detection using machine learning - with PyTorch
autokeras - AutoML library for deep learning
healthsea - Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
auto-sklearn - Automated Machine Learning with scikit-learn
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
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.