A Look Behind DeepFake ~ GANs

Brandon Silva, Brett Bissey
Last updated on Feb 19, 2023
1 min read
DeepFakeGANsCycleGANsgenerative models
View the Notebook on GitHub Follow along on Kaggle (recommended) Follow along on Google Colab 
from pathlib import Path

DATA_DIR = Path("/kaggle/input")
if (DATA_DIR / "ucfai-core-sp20-gans").exists():
    DATA_DIR /= "ucfai-core-sp20-gans"
else:
    # You'll need to download the data from Kaggle and place it in the `data/`
    #   directory beside this notebook.
    # The data should be here: https://kaggle.com/c/ucfai-core-sp20-gans/data
    DATA_DIR = Path("data")

Other Meetings in this Series

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How can we infer on the past to predict the future? In this meeting we are going to be learning about time series data and its unique qualities. After we sharpen up our data science skills, we will be putting them to good use by analyzing and predicting the spread of the Coronavirus!

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Contributing Authors

Brandon Silva
Brandon Silva
Brett Bissey
Brett Bissey