ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
Stars: ✭ 79 (-9.2%)
Performer PytorchAn implementation of Performer, a linear attention-based transformer, in Pytorch
Stars: ✭ 546 (+527.59%)
HnattTrain and visualize Hierarchical Attention Networks
Stars: ✭ 192 (+120.69%)
Pytorch Original TransformerMy 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.
Stars: ✭ 411 (+372.41%)
Guided Attention Inference NetworkContains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
Stars: ✭ 204 (+134.48%)
Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Stars: ✭ 184 (+111.49%)
Graph attention poolAttention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
Stars: ✭ 186 (+113.79%)
visualizationa collection of visualization function
Stars: ✭ 189 (+117.24%)
AoA-pytorchA Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Stars: ✭ 33 (-62.07%)
Self Attention CvImplementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Stars: ✭ 209 (+140.23%)
NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Stars: ✭ 19 (-78.16%)
h-transformer-1dImplementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
Stars: ✭ 121 (+39.08%)
Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+44.83%)
Absa kerasKeras Implementation of Aspect based Sentiment Analysis
Stars: ✭ 126 (+44.83%)
Neat VisionNeat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
Stars: ✭ 213 (+144.83%)
Im2LaTeXAn implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
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Lambda NetworksImplementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
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Seq2seq SummarizerPointer-generator reinforced seq2seq summarization in PyTorch
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CrabNetPredict materials properties using only the composition information!
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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Prediction FlowDeep-Learning based CTR models implemented by PyTorch
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Isab PytorchAn implementation of (Induced) Set Attention Block, from the Set Transformers paper
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Neural spEnd-to-end ASR/LM implementation with PyTorch
Stars: ✭ 408 (+368.97%)
Attention一些不同的Attention机制代码
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Pytorch GatMy 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!
Stars: ✭ 908 (+943.68%)
Global Self Attention NetworkA Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks
Stars: ✭ 64 (-26.44%)
Doc Han AttHierarchical Attention Networks for Chinese Sentiment Classification
Stars: ✭ 206 (+136.78%)
Vqa regatResearch Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"
Stars: ✭ 129 (+48.28%)
Ai lawall kinds of baseline models for long text classificaiton( text categorization)
Stars: ✭ 243 (+179.31%)
Chinese Chatbot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。
Stars: ✭ 124 (+42.53%)
GraphtransformerGraph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.
Stars: ✭ 187 (+114.94%)
Mimic Me CV GameThis repo hold the code of a simple, fun game built using Affectiva's Emotion-as-a-Service API. An Emoji is shown on the screen and one has to mimic the emoji to score points.
Stars: ✭ 20 (-77.01%)
Long Range ArenaLong Range Arena for Benchmarking Efficient Transformers
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Ccnet Pure PytorchCriss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.
Stars: ✭ 124 (+42.53%)
FastpunctPunctuation restoration and spell correction experiments.
Stars: ✭ 121 (+39.08%)
SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
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Self Attentive TensorflowTensorflow implementation of "A Structured Self-Attentive Sentence Embedding"
Stars: ✭ 189 (+117.24%)
Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Leader LineDraw a leader line in your web page.
Stars: ✭ 1,872 (+2051.72%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+12658.62%)
MGANExploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)
Stars: ✭ 44 (-49.43%)
AppnpA PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Stars: ✭ 234 (+168.97%)
CaptcharecognitionEnd-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
Stars: ✭ 97 (+11.49%)
Njunmt TfAn open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.
Stars: ✭ 97 (+11.49%)
Nlp JourneyDocuments, 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.
Stars: ✭ 1,290 (+1382.76%)
Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
Stars: ✭ 176 (+102.3%)