🦍 The API and AI Gateway

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).

CDN Up and Running - Building a CDN from Scratch to Learn about CDN, Nginx, Lua, Prometheus, Grafana, Load balancing, and Containers.

Efficient, reusable RNNs and LSTMs for torch

Share, discuss and learn about algorithm implementations!

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.

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

A torch implementation of http://arxiv.org/abs/1511.06434

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

Sequence-to-sequence model with LSTM encoder/decoders and attention

Neural model for converting Image-to-Markup (by Yuntian Deng yuntiandeng.com)

Deep Residual Networks with 1K Layers

Generative Adversarial Text-to-Image Synthesis

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"

Character-level Convolutional Networks for Text Classification

LSTM language model with CNN over characters

Neural conversational model in Torch

Models and code related to sketch simplification of rough sketches.

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

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

Learning to Execute

Deep Networks with Stochastic Depth