https://github.com/aaronlelevier/mlearning
Code repo for general machine learning code that doesn't belong to any one repo or model in particular
https://github.com/aaronlelevier/mlearning
machine-learning python python-3
Last synced: about 1 month ago
JSON representation
Code repo for general machine learning code that doesn't belong to any one repo or model in particular
- Host: GitHub
- URL: https://github.com/aaronlelevier/mlearning
- Owner: aaronlelevier
- Created: 2019-01-25T15:09:00.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-02-14T14:50:30.000Z (over 7 years ago)
- Last Synced: 2025-03-23T07:30:50.269Z (about 1 year ago)
- Topics: machine-learning, python, python-3
- Language: Jupyter Notebook
- Size: 1.25 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Learning
Repo for storing Machine Learning utilities, helper code, etc...
Stuff that might live in here would be for manipulating images, working with datasets, like [COCO Dataset](http://cocodataset.org)
## Installation
```
pip install -r requirements.txt
```
To use one's own data, see the [example.ipynb](https://github.com/aaronlelevier/mlearning/blob/master/example.ipynb) and the instructions there
## Contents
The main contents so far are `coco.py`'s `Annotation` class that converts [labelme](https://github.com/wkentaro/labelme) annotations to [COCO Dataset 2014](http://cocodataset.org/#home) annotations.
### Example
There is an example Jupyter Notebook using one's own data converted from `labelme` style annotations to COCO annotations then being displayed here: [example.ipynb](https://github.com/aaronlelevier/mlearning/blob/master/example.ipynb)
## Tests
To run the test suite, run these commands:
```
pip install pytest
# from the top level project dir
py.test
```
## Licence
MIT