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).

Torch implementation of DeepMask and SharpMask

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

Spatio-temporal video autoencoder with convolutional LSTMs

Decoupled Weight Decay Regularization (ICLR 2019)

Facebook's extensions to torch/nn.

Practical 6: LSTM language models

segmentation, instance segmentation and single image depth

Deep metric learning using Triplet network

A Compositional Object-Based Approach to Learning Physical Dynamics

ImageNet training using torch

Predicting Deeper into the Future of Semantic Segmentation