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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Har Stacked Residual Bidir LstmsUsing deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
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lstm harLSTM based human activity recognition using smart phone sensor dataset
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ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
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SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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question-pairA siamese LSTM to detect sentence/question pairs.
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totally humansrnn trained on r/totallynotrobots 🤖
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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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Lstm Human Activity RecognitionHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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Tensorflow poems中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
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sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
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tiny-rnnLightweight C++11 library for building deep recurrent neural networks
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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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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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Keras LmuKeras implementation of Legendre Memory Units
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Lstm Siamese Text Similarity⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
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Rnnt Speech RecognitionEnd-to-end speech recognition using RNN Transducers in Tensorflow 2.0
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Nspm🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.
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Qa matchA simple effective ToolKit for short text matching
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Siamese LstmSiamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
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MimickCode for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)
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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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AudioowlFast and simple music and audio analysis using RNN in Python 🕵️♀️ 🥁
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HartHierarchical Attentive Recurrent Tracking
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Awd Lstm LmLSTM and QRNN Language Model Toolkit for PyTorch
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