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

A cleaner codebase of Jiwei Li's Neural-Dialogue-Generation

Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen, "Aesthetic Critiques Generation for Photos," International Conference on Computer Vision, ICCV 2017, October 2017.

Implementation of "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network" by Z.Laskar et al.

Real time face alignment

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.

🌀 Detects and labels connected components in binary images via Torch7 / Lua

Torch Implementation of NIPS'16 paper: Perspective Transformer Nets

Torch7 implementation of SDProp.

Autoencoder trained on ImageNet Using Torch 7

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

Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".

2.86% and 15.85% on CIFAR-10 and CIFAR-100

Lua/Torch7 wrapper for dbcollection

Text classification using a convolutional neural network.

deep learning framework playground

Torch Automatic Distributed Neural Network (TorchAD-NN) training library. Built on top of TorchMPI, this module automatically parallelizes neural network training.

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.

A Deep Neural Information Retrieval Model Enhanced by a Knowledge Resource Driven Representation of Documents

Torch implementation of MobileNet