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1 | 1 | # ml_scheduler
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2 | 2 |
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3 | 3 | [](http://badge.fury.io/py/ml_scheduler)
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4 |
| -[](https://github.com/huyiwen/ml_scheduler/actions?query=workflow%3ATest) |
5 |
| -[](https://github.com/huyiwen/ml_scheduler/actions?query=workflow%3ALint) |
6 |
| -[](https://codecov.io/gh/huyiwen/ml_scheduler) |
7 |
| -[](https://gitter.im/huyiwen/ml_scheduler?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) |
8 | 4 | [](https://pypi.python.org/pypi/ml_scheduler/)
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9 |
| -<!--[](https://pepy.tech/project/ml_scheduler)--> |
10 | 5 | [](https://github.com/psf/black)
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11 | 6 | [](https://timothycrosley.github.io/isort/)
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12 |
| -_________________ |
| 7 | +<!--[](https://github.com/huyiwen/ml_scheduler/actions?query=workflow%3ATest) |
| 8 | +[](https://github.com/huyiwen/ml_scheduler/actions?query=workflow%3ALint) |
| 9 | +[](https://codecov.io/gh/huyiwen/ml_scheduler) |
| 10 | +[](https://gitter.im/huyiwen/ml_scheduler?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) |
| 11 | +[](https://pepy.tech/project/ml_scheduler)--> |
13 | 12 |
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14 |
| -[Browse GitHub Code Repository](https://github.com/huyiwen/ml_scheduler/) |
15 |
| -_________________ |
16 | 13 |
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17 |
| -**ML Scheduler** is a lightweight machine learning experiment scheduler that automates resource management (e.g., GPUs and models) and batch runs experiments with just a few lines of Python code. |
| 14 | +[**ML Scheduler**]((https://github.com/huyiwen/ml_scheduler/)) is a lightweight machine learning experiment scheduler that automates resource management (e.g., GPUs and models) and batch runs experiments with just a few lines of Python code. |
18 | 15 |
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19 | 16 | ## Quick Start
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20 | 17 |
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@@ -78,3 +75,7 @@ python run.py
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78 | 75 | ```
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79 | 76 |
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80 | 77 | The results (`Accuracy` in this case) and some other information will be saved in `results.csv`.
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| 78 | + |
| 79 | +## More Examples |
| 80 | + |
| 81 | +- [Copy and run](/examples/copy_and_run) |
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