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https://github.com/merekat/ml-shortcut-library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
https://github.com/merekat/ml-shortcut-library
cnn coding data-science deep-learning efficiency extension extensions fnn machine-learning machinelearning nlp numpy pandas python scikit-learn shortcut shortcuts tensorflow visual-studio visual-studio-code
Last synced: 1 day ago
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A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development.
- Host: GitHub
- URL: https://github.com/merekat/ml-shortcut-library
- Owner: merekat
- License: mit
- Created: 2024-07-22T11:01:00.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-07-23T12:56:25.000Z (4 months ago)
- Last Synced: 2024-10-11T18:08:56.519Z (26 days ago)
- Topics: cnn, coding, data-science, deep-learning, efficiency, extension, extensions, fnn, machine-learning, machinelearning, nlp, numpy, pandas, python, scikit-learn, shortcut, shortcuts, tensorflow, visual-studio, visual-studio-code
- Homepage:
- Size: 4.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# ML Shortcut Library
A Visual Studio Code shortcut library designed to simplify and accelerate machine learning development in python.
#### Why Use ML Shortcuts?
ML Shortcuts helps streamline your machine learning workflow by providing quick access to commonly used code snippets and tools, making your development process more efficient and productive.
#### Features
* Snippets for common ML libraries (Pandas, Numpy, TensorFlow, scikit-learn etc.)
* Quick data visualization tools
* Code completion for ML tasks
* Customizable shortcuts for frequent operations
* Inline model performance metrics
## Installation
Copy and paste the content of python.json to the user snippet JSON file of Visual Code Studio. The file can be opened by File > Preferences > Configure User Snippets > python.json.
To use the snippets of the library just start typing the prefixes of the snippets and accept them via autocomplete. Sometimes placeholders need to be replaced after the code snippet appeared. You can jump from one placeholder to another via tab. All prefixes and codes can be customized in the user snippet JSON file. Placeholders are written as `${1:text}` with the number representing the order in which the user accesses the placeholder.
