CovertSheeke/MLX_W4_DD_Transfer_Learning

A home for code for the 'Dropout Disco' team, and their code throughout the Week 4 project on Transfer Learning

0

stars

46

commits

Jupyter Notebook

primary language

Jul 4, 2025

updated

README

MLX_W4_DD_Transfer_Learning

A home for code for the 'Dropout Disco' team, and their code throughout the Week 4 project on Transfer Learning

Init a new GPU:

Assuming your ssh config is saved as computa, run this from the project root: scp ./run_on_gpu.sh computa:~ Then ssh into computa and run the script.

Preprocess Flickr Dataset:

Run uv run .\model\dataset.py --preprocess

After the data set is created, upload to huggingface using uv run .\model\dataset.py --upload <repo_name>

Contributors

nick-kuhn

40 commits

CovertSheeke

4 commits

hiki-t

2 commits

CovertSheeke/MLX_W4_DD_Transfer_Learning

A home for code for the 'Dropout Disco' team, and their code throughout the Week 4 project on Transfer Learning

0

stars

46

commits

Jupyter Notebook

primary language

Jul 4, 2025

updated

README

MLX_W4_DD_Transfer_Learning

A home for code for the 'Dropout Disco' team, and their code throughout the Week 4 project on Transfer Learning

Init a new GPU:

Assuming your ssh config is saved as computa, run this from the project root: scp ./run_on_gpu.sh computa:~ Then ssh into computa and run the script.

Preprocess Flickr Dataset:

Run uv run .\model\dataset.py --preprocess

After the data set is created, upload to huggingface using uv run .\model\dataset.py --upload <repo_name>

Contributors

nick-kuhn

40 commits

CovertSheeke

4 commits

hiki-t

2 commits

Languages

Jupyter Notebook

96.6%

Python

3.4%