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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)
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RNNSearchAn implementation of attention-based neural machine translation using Pytorch
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Tf Seq2seqSequence to sequence learning using TensorFlow.
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VadVoice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
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ntua-slp-semeval2018Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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Hred Attention TensorflowAn extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
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iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
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DeepchatmodelsConversation models in TensorFlow. (website removed)
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
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Encoder decoderFour styles of encoder decoder model by Python, Theano, Keras and Seq2Seq
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Neural spEnd-to-end ASR/LM implementation with PyTorch
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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NeuralmonkeyAn open-source tool for sequence learning in NLP built on TensorFlow.
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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。
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Deep News SummarizationNews summarization using sequence to sequence model with attention in TensorFlow.
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seq2seq-pytorchSequence to Sequence Models in PyTorch
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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
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Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
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TextboxTextBox is an open-source library for building text generation system.
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Speech recognition with tensorflowImplementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.
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Text summarization with tensorflowImplementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.
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SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
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deep-transTransliterating English to Hindi using Recurrent Neural Networks
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Text ClassificationImplementation of papers for text classification task on DBpedia
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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Numpy MlMachine learning, in numpy
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Language TranslationNeural machine translator for English2German translation.
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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".
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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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protein-transformerPredicting protein structure through sequence modeling
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fsauor2018基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析
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CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
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keras cv attention modelsKeras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox
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recurrent-decoding-cell[AAAI'20] Segmenting Medical MRI via Recurrent Decoding Cell (Spotlight)
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NTUA-slp-nlp💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
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MidcurveNNComputation of Midcurve of Thin Polygons using Neural Networks
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Machine-LearningThe projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
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MogrifierLSTMA quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
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