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mixture-of-gaussians

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WGAN-learns-the-distributon-of-a-MoG

EliaFantini / WGAN-learns-the-distributon-of-a-MoG

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A Wasserstein Generative Adversarial Network that learns the distribution of a Mixture of Gaussian, using weight clipping or spectral normalization

python data-science machine-learning pytorch generative-adversarial-network gan matplotlib gif-animation minimax-algorithm wasserstein-gan spectral-normalization anaconda3 mixture-of-gaussians lipschitz-regularization lipschitz-constant weight-clip
  • Updated Sep 25, 2022
  • Python

ialexmp / Machine-Learning

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This Machine Learning repository encompasses theory, hands-on labs, and two projects. Project 1 analyzes customer segmentation for marketing using clustering, while Project 2 applies supervised classification in marketing and sales.

data-science machine-learning machine-learning-algorithms artificial-intelligence supervised-learning data-analysis clustering-algorithm supervised-machine-learning customer-segmentation machine-learning-concepts project-based-learning clustering-techniques mixture-of-gaussians supervised-classification k-means-algorithm model-training-and-evaluation marketing-and-sales-classification data-science-and-ai-engineering
  • Updated Dec 2, 2023
  • Jupyter Notebook

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