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  • Rank 264,615 (Top 6 %)
  • Language
    Python
  • Created over 5 years ago
  • Updated over 3 years ago

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Repository Details

Deep learning model zoo with TensorFlow 2.X (& Keras)

Deep Learning with TensorFlow 2.X

Implementations of neural network models with tf (>=2.0)

See also implementations with PyTorch 1.0 here.

Requirements

  • TensorFlow >= 2.0
$ pip install tensorflow

Models

  • Logistic Regression
  • MLP
  • LeNet
  • ResNet (ResNet34, ResNet50)
  • DenseNet (DenseNet121)
  • Encoder-Decoder (LSTM)
  • EncoderDecoder (Attention)
  • Transformer
  • Deep Q-Network
  • Variational Autoencoder
  • Generative Adversarial Network
models/
โ”œโ”€โ”€ densenet121_cifar10_beginner.py
โ”œโ”€โ”€ dqn_cartpole.py
โ”œโ”€โ”€ encoder_decoder_attention.py
โ”œโ”€โ”€ encoder_decoder_lstm.py
โ”œโ”€โ”€ gan_fashion_mnist.py
โ”œโ”€โ”€ lenet_mnist.py
โ”œโ”€โ”€ lenet_mnist_beginner.py
โ”œโ”€โ”€ logistic_regression_mnist.py
โ”œโ”€โ”€ logistic_regression_mnist_beginner.py
โ”œโ”€โ”€ mlp_mnist.py
โ”œโ”€โ”€ mlp_mnist_beginner.py
โ”œโ”€โ”€ resnet34_fashion_mnist.py
โ”œโ”€โ”€ resnet34_fashion_mnist_beginner.py
โ”œโ”€โ”€ resnet50_fashion_mnist.py
โ”œโ”€โ”€ resnet50_fashion_mnist_beginner.py
โ”œโ”€โ”€ transformer.py
โ”œโ”€โ”€ vae_fashion_mnist.py
โ”‚
โ””โ”€โ”€ layers/
 ย ย  โ”œโ”€โ”€ Attention.py
 ย ย  โ”œโ”€โ”€ DotProductAttention.py
 ย ย  โ”œโ”€โ”€ LayerNormalization.py
 ย ย  โ”œโ”€โ”€ MultiHeadAttention.py
 ย ย  โ”œโ”€โ”€ PositionalEncoding.py
 ย ย  โ””โ”€โ”€ ScaledDotProductAttention.py

*_beginner.py is the file using only Keras.

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