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 Python SDK 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