NeuralmonkeyAn open-source tool for sequence learning in NLP built on TensorFlow.
Stars: ✭ 400 (+1328.57%)
im2pTensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Stars: ✭ 43 (+53.57%)
Medical Report GenerationA pytorch implementation of On the Automatic Generation of Medical Imaging Reports.
Stars: ✭ 100 (+257.14%)
Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
Stars: ✭ 12 (-57.14%)
RSTNetRSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)
Stars: ✭ 71 (+153.57%)
ScanPyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
Stars: ✭ 306 (+992.86%)
Image To Image SearchA reverse image search engine powered by elastic search and tensorflow
Stars: ✭ 200 (+614.29%)
image-captioning-DLCTOfficial pytorch implementation of paper "Dual-Level Collaborative Transformer for Image Captioning" (AAAI 2021).
Stars: ✭ 134 (+378.57%)
Punny captionsAn implementation of the NAACL 2018 paper "Punny Captions: Witty Wordplay in Image Descriptions".
Stars: ✭ 31 (+10.71%)
AdaptivePytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Stars: ✭ 97 (+246.43%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+403.57%)
Self Critical.pytorchUnofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.
Stars: ✭ 716 (+2457.14%)
Virtex[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
Stars: ✭ 323 (+1053.57%)
Gisgis (go image server) go 实现的图片服务,实现基本的上传,下载,存储,按比例裁剪等功能
Stars: ✭ 108 (+285.71%)
Image CaptioningImage Captioning using InceptionV3 and beam search
Stars: ✭ 290 (+935.71%)
CS231nCS231n Assignments Solutions - Spring 2020
Stars: ✭ 48 (+71.43%)
stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
Stars: ✭ 58 (+107.14%)
Image-CaptionUsing LSTM or Transformer to solve Image Captioning in Pytorch
Stars: ✭ 36 (+28.57%)
Up Down CaptionerAutomatic image captioning model based on Caffe, using features from bottom-up attention.
Stars: ✭ 195 (+596.43%)
Coco CnEnriching MS-COCO with Chinese sentences and tags for cross-lingual multimedia tasks
Stars: ✭ 57 (+103.57%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (+3432.14%)
MIACode for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" (NeurIPS 2019)
Stars: ✭ 57 (+103.57%)
Show Adapt And TellCode for "Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner" in ICCV 2017
Stars: ✭ 146 (+421.43%)
Im2pTensorflow implementation of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs
Stars: ✭ 15 (-46.43%)
Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Stars: ✭ 243 (+767.86%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+350%)
OmninetOfficial Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
Stars: ✭ 448 (+1500%)
OscarOscar and VinVL
Stars: ✭ 396 (+1314.29%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
Stars: ✭ 116 (+314.29%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (+1032.14%)
DataturksML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.
Stars: ✭ 200 (+614.29%)
AdaptiveattentionImplementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"
Stars: ✭ 303 (+982.14%)
Video2descriptionVideo to Text: Generates description in natural language for given video (Video Captioning)
Stars: ✭ 107 (+282.14%)
udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Stars: ✭ 36 (+28.57%)
captioning chainerA fast implementation of Neural Image Caption by Chainer
Stars: ✭ 17 (-39.29%)
ArnetCVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
Stars: ✭ 94 (+235.71%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (+7.14%)
Sca Cnn.cvpr17Image Captions Generation with Spatial and Channel-wise Attention
Stars: ✭ 198 (+607.14%)
Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Stars: ✭ 54 (+92.86%)
Show Control And TellShow, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019
Stars: ✭ 243 (+767.86%)
Awesome-CaptioningA curated list of Multimodal Captioning related research(including image captioning, video captioning, and text captioning)
Stars: ✭ 56 (+100%)
CameramanagerSimple Swift class to provide all the configurations you need to create custom camera view in your app
Stars: ✭ 1,130 (+3935.71%)
Show-Attend-and-TellA PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Stars: ✭ 58 (+107.14%)
Image CaptioningImage Captioning: Implementing the Neural Image Caption Generator with python
Stars: ✭ 52 (+85.71%)
UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
Stars: ✭ 57 (+103.57%)
catrImage Captioning Using Transformer
Stars: ✭ 206 (+635.71%)
AoanetCode for paper "Attention on Attention for Image Captioning". ICCV 2019
Stars: ✭ 242 (+764.29%)
Image CaptioningImplementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]
Stars: ✭ 171 (+510.71%)
Image captioninggenerate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
Stars: ✭ 51 (+82.14%)