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bottom-up-attention.pytorch

A PyTorch reimplementation of bottom-up-attention models

coco-labels

The labels for object categories in COCO dataset

convcap

cyclegan-pytorch

A clean and lucid implementation of cycleGAN using PyTorch

datamining-homework1

datamining_homework_2

datamining_homework_3

distillation_n_privileged_info_torch

PyTorch implementation of Generalised Distillation Approach presented in "Unifying distillation and privileged information" paper on ICLR 2016.

download_google_drive

Download files from Google Drive using Python 2 or Python 3

imagecaptioning.pytorch

Image captioning codebase in pytorch(self-critical training and more advanced features are under my self-critical.pytorch repository (worth checking).)

msvd-cn

Chinese corpus for MSVD-CN dataset and code for baseline methods

neural-motifs

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

obj-centric-unsup-caption

Official Pytorch Implementation of the paper: Object-Centric Unsupervised Image Captioning (ECCV2022)

openke

An Open-Source Package for Knowledge Embedding (KE)

python3-fp-growth

the fp-growth algorithm with python3.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

seqgan-pytorch

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

sgae

textgan-pytorch

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.