Application name: ML Workspace
Application repo link: https://github.com/ml-tooling/ml-workspaceApplication description: All-in-one web-based IDE for machine learning and data science with Python.
Qualifications
There are a ton of great Python projects out there, but what makes an
application "Awesome™"? Please check that all of the following criteria apply:
[x] Free software with an online source repository.
[x] Using Python for a considerable part of their functionality.
[ ] Well-known, or at least prominently used in an identifiable niche.
[x] Maintained or otherwise demonstrably still functional on relevant platforms.
[x] An application, not a library or framework.
Additional notability info
The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated.
Basic info
Application name: ML Workspace Application repo link: https://github.com/ml-tooling/ml-workspace Application description: All-in-one web-based IDE for machine learning and data science with Python.
Qualifications
There are a ton of great Python projects out there, but what makes an application "Awesome™"? Please check that all of the following criteria apply:
Additional notability info
The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated.