A collection of various deep learning models, in TensorFlow2 and PyTorch.
Perceptron
Logistic Regression
Multilayer Perceptron
Convolutional Neural Network
LeNet
AlexNet
VGG
ResNet
- ResNet-34 on MNIST
- ResNet-50 on MNIST
- ResNet-101 on CIFAR-10
Network in Network
DenseNet
Many-to-one: Sentiment Analysis / Classification
- A simple single-layer RNN on IMDB
- RNN with LSTM cells on IMDB
- RNN with GRU cells on IMDB
- RNN with LSTM cells on IMDB and pre-trained GloVe word vectors
- Multilayer bi-directional RNN on IMDB
Many-to-Many / Sequence-to-Sequence
Fully-connected Autoencoders
Variational Autoencoders
Fully Connected GAN on MNIST