Image Super-Resolution for Anime-Style Art

Torch implementation of neural style algorithm

Face recognition with deep neural networks.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Image-to-image translation with conditional adversarial nets

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Feedforward style transfer

Facebook AI Research Sequence-to-Sequence Toolkit

An implementation of the paper 'A Neural Algorithm of Artistic Style'.

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

Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'.

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

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

The original code from the DeepMind article + my tweaks

Memory Networks implementations

[ICCV 2017] Torch code for Grad-CAM

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

3.8% and 18.3% on CIFAR-10 and CIFAR-100

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

Deep Residual Networks with 1K Layers

Task generation for testing text understanding and reasoning

Spatial CNN for traffic lane detection (AAAI2018)

Models and code related to sketch simplification of rough sketches.

Learning from Synthetic Humans, CVPR 2017

natural image generation using ConvNets

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

Deep Networks with Stochastic Depth

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）