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2016_person_re-id

A Discriminatively Learned CNN Embedding for Person Re-identification

3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3dcnn.torch

Volumetric CNN for feature extraction and object classification on 3D data.

3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

ad

Automatic Differentiation

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-multiclass

Adversarial Multiclass Classification: A Risk Minimization Perspective

awesome-deep-vision

A curated list of deep learning resources for computer vision

bcloud-packages

bcloud 的安装包

bundler_sfm

Bundler Structure from Motion Toolkit

caffe

Caffe: a fast open framework for deep learning.

char-rnn

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

cnn-for-image-retrieval

:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering, https://arxiv.org/abs/1606.09375

context-encoder

Unsupervised Feature Learning by Image Inpainting

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)

deep-encoding

Deep Texture Encoding Network

deeplearning

Deep learning toolbox

deeplearningtutorial

Deep learning tutorial in Chinese/深度学习教程中文版

densecap

Dense image captioning in Torch

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab

dl_toolbox_matlab

drmad

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

exemplar_cnn

Unofficial fork of the Code used in the paper "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", NIPS 2014

faster_rcnn

Faster R-CNN

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

generative-and-discriminative-voxel-modeling

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

igan

iGAN: Interactive Image Generation via Generative Adversarial Networks

ihog

Visualizing Object Detection Features. ICCV 2013.