https://github.com/vivek3141/ml
Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.
https://github.com/vivek3141/ml
convolutional-neural-networks gradient-descent k-means learn-machine-learning library linear-regression logistic-regression machine-learning ml-python neural-network nonlinear-regression python tensorflow
Last synced: 5 months ago
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Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.
- Host: GitHub
- URL: https://github.com/vivek3141/ml
- Owner: vivek3141
- License: mit
- Created: 2018-08-17T04:08:26.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2023-03-24T23:41:44.000Z (over 2 years ago)
- Last Synced: 2024-10-07T10:28:41.676Z (about 1 year ago)
- Topics: convolutional-neural-networks, gradient-descent, k-means, learn-machine-learning, library, linear-regression, logistic-regression, machine-learning, ml-python, neural-network, nonlinear-regression, python, tensorflow
- Language: Python
- Homepage:
- Size: 229 MB
- Stars: 16
- Watchers: 3
- Forks: 3
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
[](https://travis-ci.com/vivek3141/ml)
[](https://pepy.tech/project/ml-python)
[](https://pypi.python.org/pypi/ml-python)
[](https://pypi.python.org/pypi/ml-python)
# ML
This module provides for the easiest way to implement Machine Learning algorithms. It also has in-built support for graphing and optimizers based in C.
Learn the module here:
* [YouTube](https://www.youtube.com/watch?v=ReMIzozsx8Y)
* [Blog Post](https://vivek3141.github.io/blog/posts/ml.html)
* [Examples](https://github.com/vivek3141/ml/tree/master/examples)
This module uses a tensorflow backend.
## Implemented Algorithms
* 2D CNN `ml.cnn`
* Basic MLP `ml.nn`
* K-Means `ml.k_means`
* Linear Regression `ml.linear_regression`
* optimized with C
* Logistic Regression `ml.logistic_regression`
* Graph Modules `ml.graph`
* Graph any function with or without data points - `from ml.graph import graph_function, graph_function_and_data`
* Nonlinear Regression `ml.regression`
* Optimizers - `ml.optimizer` optimized with C
* GradientDescentOptimizer - `from ml.optimizer import GradientDescentOptimizer`
* AdamOptimizer - `from ml.optimizer import AdamOptimizer`
* UNSTABLE - Character generating RNN - `ml.rnn`
#### You can find examples for all of these in `/examples`
### Pip installation
```bash
pip install ml-python
```
### Python installation
```bash
git clone https://github.com/vivek3141/ml
cd ml
python setup.py install
```
### Bash Installation
```bash
git clone https://github.com/vivek3141/ml
cd ml
sudo make install
```
## Examples
Examples for all implemented structures can be found in `/examples`.
In this example, linear regression is used.
First, import the required modules.
```python
import numpy as np
from ml.linear_regression import LinearRegression
```
Then make the required object
```python
l = LinearRegression()
```
This code below randomly generates 50 data points from 0 to 10 for us to run linear regression on.
```python
# Randomly generating the data and converting the list to int
x = np.array(list(map(int, 10*np.random.random(50))))
y = np.array(list(map(int, 10*np.random.random(50))))
```
Lastly, train it. Set `graph=True` to visualize the dataset and the model.
```python
l.fit(data=x, labels=y, graph=True)
```
The full code can be found in `/examples/linear_regression.py`
## Makefile
A Makefile is included for easy installation.
To install using make run
```bash
sudo make
```
Note: Superuser privileges are only required if python is installed at `/usr/local/lib`
## License
All code is available under the [MIT License](https://github.com/vivek3141/ml/blob/master/LICENSE.md)
## Contributing
Pull requests are always welcome, so feel free to create one. Please follow the pull request template, so
your intention and additions are clear.
## Contact
Feel free to contact me by:
* Email: vivnps.verma@gmail.com
* GitHub Issue: [create issue](https://github.com/vivek3141/ml/issues/new)