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bag-of-words-model-toolkit

BoW model toolkit implemented by python

cvpr17_vtranse

cvpr2019

cvpr2019 papers

dbm

Simple implementation of Deep Boltzmann Machine

dbm-1

Deep Boltzmann machine python

deep-learning-models

Deep Learning Models implemented in python.

deep_boltzmann

Deep boltzmann machine implementation

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmat

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

deepnet

Implementation of some deep learning algorithms.

epgn

fgsm-pytorch

A pytorch implementation of "Explaining and harnessing adversarial examples"

guet

imagenet-downloader

A simple way to browse ImageNet classes and download some images from it.

kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

msae

code for the paper effective multi-modal retrieval based on stacked auto-encoders

mysparseautoencoder-

neuralbabytalk

Pytorch code of for our CVPR 2018 paper "Neural Baby Talk"

s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

sae

Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017

sae-pytorch

PyTorch Implementation of SAE from AtoZ

salnet-cvpr19-master

Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"

semanticcnn

sme

tfsparsecode

TensorFlow implementation for Sparse Coding

vrd

two models for visual relationship detection

zero-shot-gcn

Zero-Shot Learning with GCN (CVPR 2018)