AutoGluon¶
AutoGluon provides auto-ML across several data types and problems: prediction for tabular data, image prediction (recognize the main object in the image), object detection (detecting objects with their bounding boxes in an image), making predictions based on text content, and time series forecasting. It is a wrapper over many popular libraries, including NLTK, Scikit-learn, sktime, statsmodels, Torchvision, and Hugging Face Transformers.
Logo |
|
|---|---|
Website |
|
Repository |
|
Byline |
AutoGluon: AutoML for Image, Text, and Tabular Data |
License |
Apache 2.0 |
Project age |
3 years 7 months |
Backers |
AWS Labs (Creator and maintainer) |
Lastest News (2022-11-17) |
v0.6.0 We’re happy to announce the AutoGluon 0.6 release. 0.6 contains major enhancements to Tabular, Multimodal, and Time Series … more |
Size score (1 to 10, higher is better) |
3.75 |
Trend score (1 to 10, higher is better) |
9.5 |
Education Resources¶
URL |
Resource Type |
Description |
|---|---|---|
Blog |
Blog post on AWS Open Source Blog (March 2020) |
|
Paper |
Paper available on ArXiv (2020) |
|
Video |
Tutorial from KDD 2020 |
|
Paper |
Paper from 2021 ICML AutoML workshop |
Git Commit Statistics¶
Statistics computed using Git data through November 30, 2022.
Statistic |
Lifetime |
Last 12 Months |
|---|---|---|
Commits |
5,754 |
2,836 |
Lines committed |
1,831,307 |
843,759 |
Unique committers |
105 |
45 |
Core committers |
14 |
11 |
Similar Projects¶
Project |
Size Score |
Trend Score |
Byline |
|---|---|---|---|
8.5 |
8.0 |
An open-source, low-code machine learning library in Python. |
|
6.0 |
4.75 |
Automated Machine Learning with scikit-learn |
|
7.5 |
5.25 |
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc. |