https://github.com/satyajitghana/projektfrancium

A package to test out AI Algorithms in Python
https://github.com/satyajitghana/projektfrancium

ai evolutionary-algorithms genetic-algorithm hill-climbing python

Last synced: about 1 month ago
JSON representation

A package to test out AI Algorithms in Python

• Host: GitHub
• URL: https://github.com/satyajitghana/projektfrancium
• Owner: satyajitghana
• Created: 2020-12-03T08:20:47.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-21T14:23:55.000Z (almost 5 years ago)
• Last Synced: 2024-10-09T09:27:08.431Z (about 1 year ago)
• Topics: ai, evolutionary-algorithms, genetic-algorithm, hill-climbing, python
• Language: Jupyter Notebook
• Homepage:
• Size: 8.58 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
Projekt Francium








---

A package to test out AI Algorithms in Python

## Install

```shell script

pip install git+https://github.com/satyajitghana/ProjektFrancium

```

## [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/satyajitghana/ProjektFrancium/blob/master/FranciumColab.ipynb)

## Example Usage

```python

import francium.algorithms.hill_climbing as hc

import francium.core.eval_functions as eval_functions

from francium.core import State

agent = hc.Agent(step_size=1e-1)

env = hc.Environment(x_bounds=(-5.0, 5.0), y_bounds=(-5.0, 5.0), eval_func=eval_functions.sinx_plus_x)

solver = hc.Solver(agent=agent, environment=env)

solver.init_solver(

    init_state=State({

        'x': 4.0,

        'y': 2.0,

        'z': env.evaluation_func(4.0, 2.0)

    })

)

for episode in range(1000):

    trainable = solver.train_step()

    if not trainable:

        break

solver.plot_history()

env.plot_environment()

```

see `notebooks` for more examples

---

Made with 💘 by shadowleaf