Machine learning platform / Live
Gaia
Train anything. Deploy anywhere.
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[ 01 ]The project
Gaia is a cloud platform for training machine learning models without code. A builder uploads a dataset, and the platform validates the schema, selects a model architecture and hyperparameters, and trains with transfer learning on pre-trained models, so useful accuracy arrives in minutes rather than weeks.
Trained models deploy as REST endpoints with one click and export as PKL, ONNX, H5, SavedModel or JOBLIB. The studio covers image, text, audio, tabular and video data and object detection, tracks accuracy and loss as a job runs, and includes a marketplace where builders publish models to earn revenue. The source is published under the MIT licence on GitHub.
[ 02 ]What it does
- 01
AutoML training
Upload a dataset and the platform selects the model architecture, hyperparameters and training strategy.
- 02
Six kinds of data
Image, text, audio, tabular and video data, plus object detection, with automated cleaning, augmentation and preprocessing.
- 03
Transfer learning
Pre-trained models shorten training, so custom image classifiers train in minutes on CPU.
- 04
One-click deployment
Deploy a trained model as an auto-scaling REST API, or download it as PKL, ONNX, H5, SavedModel or JOBLIB.
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