214 Open source projects that are alternatives of or similar to Vqa_regat

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

DeFactoNLP: An Automated Fact-checking System that uses Named Entity Recognition, TF-IDF vector comparison and Decomposable Attention models.

A deep learning library based on Pytorch focussed on low resource language research and robustness

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

Machine learning, in numpy

Official and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Tensorflow implementation of attention mechanism for text classification tasks.

CloudCV Visual Question Answering Demo

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

📚 Text classification library with Keras

Draw a leader line in your web page.

Re-implementation of Bi-Directional Block Self-Attention for Fast and Memory-Efficient Sequence Modeling (T. Shen et al., ICLR 2018) on Pytorch.

document classification using LSTM + self attention

PyTorch VQA implementation that achieved top performances in the (ECCV18) VizWiz Grand Challenge: Answering Visual Questions from Blind People

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

Natural Language Processing Tutorial for Deep Learning Researchers

📷 ❓ Visual Question Answering Demo and Algorithmia API

Multi-turn dialogue baselines written in PyTorch

Implementation of papers for text classification task on DBpedia

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

list of efficient attention modules

Hadamard Product for Low-rank Bilinear Pooling

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Sorting numbers with pointer networks

CNN, LSTM, NBOW, fasttext 中文文本分类

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Keras Implementation of Aspect based Sentiment Analysis

A Keras Implementation of Attention_based Siamese Manhattan LSTM

Empirical Evaluation on Current Neural Networks on Cloze-style Reading Comprehension

PyTorch implementation of some attentions for Deep Learning Researchers.

BertQA - Attention on Steroids

TensorFlow Implementation of "Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification"

A Tensorfflow implementation of Attend, Infer, Repeat

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Bangla Machine Translator

My Attempt(s) In The World Of ML/DL....

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification (AAAI'18)

A Tensorflow implementation of Spatial Transformer Networks.

Punctuation restoration and spell correction experiments.

研读顶会论文，复现论文相关代码

[ICLR 2021] Is Attention Better Than Matrix Decomposition?

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

读过的CV方向的一些论文，图像生成文字、弱监督分割等

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

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

基于卷积神经网络的语音识别声学模型的研究

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