Quick dataset preparation guide for image prediction.
5 min tutorial on classifying images.
Hyperparameter tuning to improve image classification accuracy.
Example use of AutoGluon for image classification competition on Kaggle.
Quick dataset preparation guide for object detection.
5 min tutorial on detecting objects in images.
5 min tutorial on fitting models with tabular datasets.
In-depth tutorial on controlling various aspects of model fitting.
Using AutoGluon for Kaggle competitions with tabular data.
Modeling data tables with image, text, numeric, and categorical features.
Modeling data tables with text and numeric/categorical features.
How to predict multiple columns in a data table.
How to add a custom model to AutoGluon.
How to add a custom metric to AutoGluon.
Frequently asked questions about AutoGluon-Tabular.
5 min tutorial on fitting prediction models with text in the dataset.
Learning how AutoGluon Text can be used to train model for multimodal data table with text.
In-depth tutorial on learning how to customize the search space and try different HPO algorithms.
Tune Custom Models¶
AutoGluon’s Core API for search spaces and searchable objects used to tune any training function’s argument-values.
Use AutoGluon’s search algorithms to tune arbitrary models/training-scripts.
Easily distribute AutoGluon tuning across multiple machines.
Complete example of how to use AutoGluon and its state-of-the-art schedulers and model-based searchers to tune a MLP.
Example of how to use constrained Bayesian Optimization in AutoGluon to tune ML models under fairness constraints.
Neural Architecture Search¶
Comparing search via Reinforcement Learning against Random search.
Efficient Neural Architecture Search for low latency model on target hardware.