The AI Training Suite
The collaborative and analytical training suite for insightful, fast, and reproducible modern machine learning. All in one cross-platform desktop app for you alone, corporate or open-source teams.
Our mission is to make training artificial intelligence transparent, accessible, and cost-efficient.
Track your experiments, debug your models, and manage computation servers. It’s made for you as a single developer working completely offline and teams with real-time collaboration tools out of the box.
Cover the full lifecycle of machine learning experiments.
Better understand models by using model debugging and analytical tools
Oversee your computation infrastructure in clusters and utilise them efficiently.
High fidelity real-time user interface with collaboration tools.
Define experiments in an unified YAML format or use the pythonic way with the Deepkit Python SDK.
First interactive model debugger for Keras with Tensorflow 1, Tensorflow 2 Keras, and Pytorch.
While we have special support for Python and Tensorflow/Pytorch, you can run experiments in any language.
With the integrated cluster management you can run executing experiments on your own servers with just one click.
Split your experiment in multiple tasks and pipe outputs to decrease execution time and costs.
Run your experiment in Docker. Deepkit builds, runs, monitor, and assigns NVIDIA GPUs automatically.
Work completely offline, execute the experiment local exactly like it would in the cloud, and go online anytime.
Connect your Git with a Deepkit Team Server and run experiments directly via the app from Git source or via hooks.
The integrated model debugger enables you to not only see the architecture of your model any time but also to look into the model in real-time while it trains. Many layers can be visualized right next to the histogram of your output, weights, and biases.
A recorder enables you to record multiple snapshots of the model at different states.
Support for Keras with Tensorflow, Tensorflow 2 with tf.keras, and Pytorch via the Python SDK.
Download and use immediately. No account, no credit card.