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torch-examples

In this repository you can access to the torch examples for the blog series http://rnduja.github.io/2015/10/01/deep_learning_with_torch/

torch-gan

torch-models

Implementation of state-of-art models in Torch

torch-nin

a replication of Network in network in torch. original code : https://github.com/mavenlin/cuda-convnet

torch-nn

Aditional functionnalities for torch7 neural networks

torch-randomkit

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

torch-totem

Torch test module

torch-tripletembedding

TripletLoss used in Google's FaceNet paper

torch-twrl

Torch-twrl is a package that enables reinforcement learning in Torch.

torch7

torch_norm

Calculates the normal of the input vector.

torchnet

Torch on steroids

train_minist_with_multi_gpu

transformer_network

Spatial Transformer network

treelstm

Tree-structured Long Short-Term Memory networks (http://arxiv.org/abs/1503.00075)

tripletnet

Deep metric learning using Triplet network

ultra-fast-lane-detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

understanding-visual-concepts

Unsupervised learning of visual concepts from video

utils_for_3d_research

vae-torch

Implementation of Variational Auto-Encoder in Torch7

vand-april-gan-v3

vgg-19-feature-extractor

Multi-threaded VGG 19 feature extractor in Torch

videogan

Generating Videos with Scene Dynamics

vimrc

The ultimate Vim configuration: vimrc

vision_language

vision language

visual-concepts-2

visual-qa

Keras-based LSTM/CNN models for Visual Question Answering

vqa_lstm_cnn

Train a deeper LSTM and normalized CNN Visual Question Answering model. This current code can get 58.16 on OpenEnded and 63.09 on Multiple-Choice on test-standard.

vqabaseline

Simple Baseline for Visual Question Answering