cifar-10

My goal with this project is to develop a loose personal framework for subsequent ML/AI projects and endeavors. The CIFAR-10 dataset will be used to:

• perform exploratory data analysis
• create data processing pipelines
• train and test classical ML models
• train and test personally architected neural networks
• train and test pretrained or pre-architected neural networks

Technology Used

python 3.11, pandas, scikit-learn, pytorch, jupyter lab

Setup

# create virtual environment
virtualenv -p=/usr/bin/python3.11 ./venv

# install packages
pip install -r requirements.txt

Running Jupyter lab on a remote server

jupyter lab --no-browser --ip=100.109.213.114 --port=8080

# run in background
jupyter lab --no-browser --ip=100.109.213.114 --port=8080 > logs/jupyter.log 2>&1 &