674 Open source projects that are alternatives of or similar to Image-Caption

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Embedding模型代码和学习笔记总结

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

Any-to-any voice conversion by end-to-end extracting and fusing fine-grained voice fragments with attention

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

TensorFlow Implementation of "Show, Attend and Tell"

Image Captioning using InceptionV3 and beam search

Neutron: A pytorch based implementation of Transformer and its variants.

a simple and complete pytorch implementation of neural machine translation system

BERT for Multitask Learning

End-to-end ASR/LM implementation with PyTorch

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

Implementation of Linformer for Pytorch

Fully featured implementation of Routing Transformer

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

a collection of visualization function

Meshed-Memory Transformer for Image Captioning. CVPR 2020

Transformer-based image captioning extension for pytorch/fairseq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

TianChi AIEarth Contest Solution

An open-source tool for sequence learning in NLP built on TensorFlow.

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

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Predict materials properties using only the composition information!

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

Image Captions Generation with Spatial and Channel-wise Attention

A fast implementation of Neural Image Caption by Chainer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

text generation based on transformer

Neural Machine Translation with Keras

Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain

Exploring attention weights in transformer-based models with linguistic knowledge.

Chinese Poetry Generation

RSTNet: Captioning with Adaptive Attention on Visual and Non-Visual Words (CVPR 2021)

An Implementation of 'Attention is all you need' with Chinese Corpus

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Transformer based on a variant of attention that is linear complexity in respect to sequence length

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

Image Captioning Using Transformer

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

Generating image captions using Xception Network and Beam Search in Keras

Sequence to sequence learning using TensorFlow.

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

A minimal nmt example to serve as an seq2seq+attention reference.