Right now, my. focus is on Machine Learning Pipelines, Platforms and similar topics.
Google TFX is one such tool. It helps you build a complete ML pipeline.
The pipeline components are built using TFX libraries which can also be used individually.
TensorFlow Data Validation
To understand, validate, and monitor ML data at scale.
To preprocess data into a suitable format, including converting between formats, tokenizing and stemming text and forming vocabularies, and performing a variety of numerical operations such as normalization.
TensorFlow Model Analysis
To compute and visualize evaluation metrics for models by evaluating model performance to ensure that it meets specific quality thresholds and behaves as expected for all relevant slices of data.
To support model versioning (for model updates with a rollback option) and multiple models (for experimentation via A/B testing), while ensuring that concurrent models achieve high throughput on hardware accelerators (GPUs and TPUs) with low latency.