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Starred repositories
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).
Facebook AI Research Sequence-to-Sequence Toolkit
Torch implementation of DeepMask and SharpMask
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
A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)
3.8% and 18.3% on CIFAR-10 and CIFAR-100
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.
Example implementation of the DeepStack algorithm for no-limit Leduc poker
ImageNet classification using binary Convolutional Neural Networks
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
natural image generation using ConvNets
CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Development kit for MIT Scene Parsing Benchmark
code for "Fast Patch-based Style Transfer of Arbitrary Style".
Code to test and use the model from "Stacked Hourglass Networks for Human Pose Estimation"
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
A torch implementation of "Pixel-Level Domain Transfer"