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Implementation | Dataset | Notebooks |
---|---|---|
Simple Linear Regression | Dummy + Diabetes Dataset (regression) | |
Logistic Regression | Breast Cancer Wisconsin Dataset |
Implementation | Dataset | Notebooks |
---|---|---|
AlexNet | Tiny ImageNet | |
ResNet-18 | CIFAR-10 |
Implementation | Dataset | Notebooks |
---|---|---|
U-Net Architecture | SOME RANDOM SEGMENTATION DATASET |
- Linear Regression
- Logistic Regression
- Autoencoder
- Variational Autoencoder (VAE)
- Generative Adversarial Network (GAN)
- Graph Neural Network
- ResNet18 + Residual Layars
- U-Net Architecture [WIP]
- AlexNet
- Recurrent Neural Network (RNN)
- Long Short-Term Memory (LSTM)
- Gated Recurrent Unit (GRU)
- Ensembling + XGBoost
This readme layout inspired by rasbt/deeplearning-models