The MLX Katalog project hosts the default assets to bootstrap the Machine Learning Exchange.
- Katib Early-Stopping Experiment
- Trusted AI Pipeline with AI Fairness 360 and Adversarial Robustness Check
- Training and Serving Models with Watson Machine Learning
- Calculation Pipeline
- Nested Pipeline
- Parallel Join
- ResourceOp Basic
- Sequential Pipeline
- Adversarial Robustness Evaluation
- Model Fairness Check
- Create Kubernetes Secret
- Generate Dataset Metadata
- Create Dataset Volume
- Deploy Model on Kubernetes
- Create Model Config
- Echo Sample
- CodeNet Language Classifier
- Human Pose Estimator
- Image Caption Generator
- Image Resolution Enhancer
- Named Entity Tagger
- Object Detector
- Optical Character Recognition
- Question Answering
- Recommender System
- Text Sentiment Classifier
- Toxic Comment Classifier
- Weather Forecaster