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a-neural-compositional-paradigm-for-image-captioning

Implementation of 'A Neural Compositional Paradigm for Image Captioning' by B. Dai, S.Fidler, D. Lin

adaptiveattention

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

aoanet

Code for paper "Attention on Attention for Image Captioning". ICCV 2019

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-causality-algorithms

An index of algorithms for learning causality with data

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

daps

This repo allocate DAPs code of our ECCV 2016 publication

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers

ernie

An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)

ernie-1

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fcos-pytorch-37.2ap

A pure torch implement of FCOS 37.2AP

image-captioning-bottom-up-top-down

PyTorch implementation of Image captioning with Bottom-up, Top-down Attention

imagecaptioning.pytorch

Image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

img2poem

models

Models and examples built with TensorFlow

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

object_relation_transformer

Implementation of the Object Relation Transformer for Image Captioning

python

All Algorithms implemented in Python

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rims

Code for "Recurrent Independent Mechanisms"

s2vt

Tensorflow implement of paper: Sequence to Sequence: Video to Text

scene-graph-benchmark.pytorch

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 Oral paper "Unbiased Scene Graph Generation from Biased Training"

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)

set_transformer

Pytorch implementation of set transformer

show_attend_and_tell.tensorflow