What is Deepkit?
It is 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.
Deepkit is a tool in the Development & Training Tools category of a tech stack.
Key Features
Real-time UI and collaborationUnified experimentsModel debuggerAny framework, all languagesJob schedulingPipelingDocker and GPU supportDocker and GPU supportOffline firstGit integration / CI
Deepkit Pros & Cons
Pros of Deepkit
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Cons of Deepkit
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Deepkit Alternatives & Comparisons
What are some alternatives to Deepkit?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
