# AISafetyLectureNotes

**Repository Path**: unigood/AISafetyLectureNotes

## Basic Information

- **Project Name**: AISafetyLectureNotes
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: BSD-3-Clause
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-11-19
- **Last Updated**: 2024-11-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Machine Learning Safety

This repository includes the code (in Chapter-X/) and the draft textbook (file "Machine_Learning_Safety.pdf"). 
It is used in "COMP219: Advanced Artificial Intelligence" at the Univesity of Liverpool for second year undergraduate students. 

### Table of Contents:  

#### Part 1: Safety Properties
#### Part 2: Safety Threats
#### Part 3: Safety Solutions
#### Part 4: Extended Safety Solutions
#### Part 5: Appendix: Mathematical Foundations and Competition


# Installation

## conda installation
windows https://conda.io/projects/conda/en/latest/user-guide/install/windows.html

Linux: https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html

macOS: https://docs.conda.io/projects/conda/en/latest/user-guide/install/macos.html

## conda env setup
First of all, you can set up a conda environment (Note that you do not need to set up conda in the lab)

```sh
conda create --name aisafety python==3.7
conda activate aisafety
```
This should be followed by installing software dependencies:
```sh
conda install -c pandas numpy matplotlib tensorflow scikit-learn pytorch torchvision
```

## IDE (VScode/PyCharm) and JupyterNotebook with conda
1. **Visual Studio Code (VScode)** is a free cross-platform source code editor. The Python for Visual Studio Code extension allows VSC to connect to Python distributions installed on your computer. Reference: https://docs.anaconda.com/anaconda/user-guide/tasks/integration/python-vsc/
2. Using **PyCharm**. PyCharm is an IDE that integrates with IPython Notebook, has an interactive Python console, and supports Anaconda as well as multiple scientific packages. Reference: https://docs.anaconda.com/anaconda/user-guide/tasks/pycharm/
3. If you want to use **Jupyter Notebook** to code, use below command:

- install jupyter
```sh
conda install jupyter
```

- open jupyter notebook
```sh
jupyter notebook
```