F1NN - Formula 1 Neural Network

The idea is to get an understanding of neural networks and predict a race outcome.

Prerequisites

Following packages are required:

• pytorch
• tensorflow
• fastf1
• pandas

Usage

Notice: For now, only pytorch is implemented. In the future, you should be able to choose which nn framework you want to use.

# get data from fastf1
python3 f1nn.py data

# train model with data
python3 f1nn.py train

# predict race outcome
python3 f1nn.py predict

To predict race outcome you will need to create a grid.txt file in the project root directory for input. An example can be seen here:

VER
LEC
RUS
SAI
PER
ALO
NOR
PIA
HAM
HUL
TSU
STR
ALB
RIC
MAG
BOT
ZHO
SAR
OCO
GAS

Roadmap

This project is by far not done or in any way perfect. You can track the progress of further plans via issues. Progress so far:

• Prototype
• CLI
• Pytorch
• Tensorflow
• Input: Recency
• Input: Track
• Input: Weather

Notice

This project is unofficial and is not associated in any way with the Formula 1 companies. F1, FORMULA ONE, FORMULA 1, FIA FORMULA ONE WORLD CHAMPIONSHIP, GRAND PRIX and related marks are trade marks of Formula One Licensing B.V.