Deepkit is an open-source platform and cross-platform desktop application to execute, track, and debug modern machine learning experiments. With integrated server management tool to execute experiments on any Linux server with a simple click or cli command.
Features
Experiment execution using uniform experiment definition
Execute experiments locally or in the cloud, seamlessly
Pipeline support to increase execution time and reduce hardware costs
Layer debugger for Keras2 and Pytorch
Automatic source code versioning
Experiment artifacts (aka output: weights, snapshots, etc)
Experiment execution via Docker container with auto-build
Experiment comparison: Side by side, file diff, metrics diff
Server job scheduling with resource limitation and assignment (and NVIDIA Docker GPU support)
Real-time experiment tracking: Log metrics, text, images, numpy arrays, and more
Project management: Issue tracker, Kanban board, and notes
Real-time desktop (and web) app with analytical tools to monitor and organize experiments
Optional centralized server for teams
Free community server at https://app.deepkit.ai to share your experiments with the world
github地址：https://github.com/deepkit/deepkit
Download - Live Demo - Example Python