Experiment Tracking

flytekitplugins-comet-ml

Comet’s machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize models—from training runs to production monitoring. This plugin integrates Flyte with Comet.ml by configuring links between the two platforms.

flytekitplugins-mlflow

MLflow enables us to log parameters, code, and results in machine learning experiments and compare them using an interactive UI.

flytekitplugins-neptune

Neptune is the MLOps stack component for experiment tracking. It offers a single place to log, compare, store, and collaborate on experiments and models. This plugin integrates Flyte with Neptune by configuring links between the two platforms.

flytekitplugins-wandb

The Weights and Biases MLOps platform helps AI developers streamline their ML workflow from end-to-end. This plugin

flyteplugins-wandb

This plugin provides integration between Flyte and Weights & Biases (W&B) for experiment tracking, including support for distributed training with PyTorch Elastic.