JoeynmtMinimalist NMT for educational purposes
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Njunmt TfAn open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.
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NmtpytorchSequence-to-Sequence Framework in PyTorch
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NematusOpen-Source Neural Machine Translation in Tensorflow
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Subword NmtUnsupervised Word Segmentation for Neural Machine Translation and Text Generation
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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NeuralmonkeyAn open-source tool for sequence learning in NLP built on TensorFlow.
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Tf Seq2seqSequence to sequence learning using TensorFlow.
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vat nmtImplementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019
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Nmtpynmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.
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XmunmtAn implementation of RNNsearch using TensorFlow
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parallel-corpora-toolsTools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.
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Nmt ListA list of Neural MT implementations
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Multi Class Text Classification Cnn RnnClassify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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Eda nlpData augmentation for NLP, presented at EMNLP 2019
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SentencepieceUnsupervised text tokenizer for Neural Network-based text generation.
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Theano Kaldi RnnTHEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
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Deeplearning深度学习入门教程, 优秀文章, Deep Learning Tutorial
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HeadlinesAutomatically generate headlines to short articles
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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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IndrnnTensorFlow implementation of Independently Recurrent Neural Networks
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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ThumtAn open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group
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Rnn Theano使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
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Opennmt PyOpen Source Neural Machine Translation in PyTorch
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
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ChatlearnerA chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
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MarianFast Neural Machine Translation in C++
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Seq2seq.pytorchSequence-to-Sequence learning using PyTorch
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Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
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Mozi此项目致力于构建一套最基础,最精简,可维护的react-native项目,支持ios,android 🌹
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Nlp Librarycurated collection of papers for the nlp practitioner 📖👩🔬
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RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
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Boilerplate Dynet Rnn LmBoilerplate code for quickly getting set up to run language modeling experiments
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Tf Rnn AttentionTensorflow implementation of attention mechanism for text classification tasks.
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Attn2dPervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
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Srnnsliced-rnn
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Tensorflow TutorialTensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
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TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
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Deep learning nlpKeras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
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NmtNeural Machine Translation with RNN/ConvS2S/Transoformer
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StockpricepredictionStock Price Prediction using Machine Learning Techniques
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Seq2seq PytorchSequence to Sequence Models with PyTorch
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Wavetorch 🌊 Numerically solving and backpropagating through the wave equation
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