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The birthplace of some really dubious ML/AI implementations — just for fun ツ

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Implementations

Traditional

Implementation Dataset Notebooks
Simple Linear Regression Dummy + Diabetes Dataset (regression) Python
Logistic Regression Breast Cancer Wisconsin Dataset Python

Deep Learning

Implementation Dataset Notebooks
AlexNet Tiny ImageNet PyTorch
ResNet-18 CIFAR-10 PyTorch

Computer Vision

Implementation Dataset Notebooks
U-Net Architecture SOME RANDOM SEGMENTATION DATASET PyTorch

Roadmap

  • Linear Regression
  • Logistic Regression
  • Autoencoder
  • Variational Autoencoder (VAE)
  • Generative Adversarial Network (GAN)
  • Graph Neural Network
  • ResNet18 + Residual Layars
  • U-Net Architecture [WIP]
  • AlexNet

Sequence Models

  • Recurrent Neural Network (RNN)
  • Long Short-Term Memory (LSTM)
  • Gated Recurrent Unit (GRU)

Misc

  • Ensembling + XGBoost

Acknowledgements

This readme layout inspired by rasbt/deeplearning-models

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The birthplace of some really dubious ML/AI implementations — just for fun ツ

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