U-Net: Convolutional Networks for Biomedical Image Segmentation
subpixel: A subpixel convnet for super resolution with Tensorflow
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
unet for image segmentation
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
Variational Recurrent Autoencoder for timeseries clustering in pytorch
QKeras: a quantization deep learning library for Tensorflow Keras
My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).