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simplify readme #42

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May 8, 2024
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19 changes: 0 additions & 19 deletions README.md
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Expand Up @@ -7,13 +7,6 @@
<img src="https://github.com/alonfnt/bayex/assets/38870744/882fecc7-bc30-4267-ad1d-687fdbbe2cdc" height="300">
</p>

[**Installation**](#installation)
| [**Usage**](#usage)
| [**Contributing**](#contributing)
| [**License**](#license)



Bayex is a lightweight Bayesian optimization library designed for efficiency and flexibility, leveraging the power of JAX for high-performance numerical computations.
This library aims to provide an easy-to-use interface for optimizing expensive-to-evaluate functions through Gaussian Process (GP) models and various acquisition functions. Whether you're maximizing or minimizing your objective function, Bayex offers a simple yet powerful set of tools to guide your search for optimal parameters.

Expand All @@ -22,18 +15,6 @@ Bayex can be installed using [PyPI](https://pypi.org/project/bayex/) via `pip`:
```
pip install bayex
```
or from GitHub directly
```
pip install git+git://github.com/alonfnt/bayex.git
```

Likewise, you can clone this repository and install it locally

```bash
git clone https://github.com/alonfnt/bayex.git
cd bayex
pip install -r requirements.txt
```

## Usage<a id="usage"></a>
Using Bayex is quite simple despite its low level approach:
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