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Face recognition with deep neural networks.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
The original code from the DeepMind article + my tweaks
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
ImageNet classification using binary Convolutional Neural Networks
Speech Recognition using DeepSpeech2 network and the CTC activation function.
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.
Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"
Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.