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Search results for python gru
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247 search results found
Keras Layer Normalization Rnn
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7
Implementation of layer normalization LSTM and GRU for keras.
Rnn Attention Network
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7
Here a simple implementation of RNN + attention neural network on IMDB movie reviews.
Gru Fcn Model For Univariate Time Series Classification
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7
GRU-FCN model for univariate time series classification
Emotion Detection Rnn
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7
A bidirectional GRU model to detect discrete emotions in tweets.
Pokerai
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6
AI algorithm that plays Texas hold 'em poker (part of university research in imperfect information games)
Rnn Lie Detector
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6
Lie Detector on CSC Deceptive Speech Dataset using RNN with TensorFlow
Roadtrafficforecast
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6
Road Traffic forecasting system on video data built with keras and deployed with flask :
Medicalhypernymy
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6
An Attention-based Bi-GRU-CapsNet Model for Hypernymy Detection between Compound Entities
Tag Suggestion
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6
Implement CNN-GRU hierarchical model in Python/Theano for text tag suggestion
Spoken Language Identification
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6
Implement a GRU/LSTM model using Keras, and train it to classify the languages using MFCC features
Rnn2automata
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6
Rnn
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6
implemented "vanilla RNN", "LSTM" and "GRU" from scratch
Paraphrase Generation
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6
Ece544_text_generation
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6
Product description generation via keywords
Charrnn
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6
Character Level Language Modelling using PyTorch
Anomalydetection.pytorch
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6
Startup some anomaly detection with pytorch!
Deeptextclassifier
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6
Keras Enigma Rnn
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6
kerasのRNNでEnigmaを解きます
Semeval 2017 Keyphrase Relation Extraction
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6
Automatic Relation Extraction with Bi-GRU+Dual Attention
Eth_predictor
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6
Ethereum Cryptocurrency Real Time Prediction (ETH/USD)
Nrp_2022_eee12
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6
LSTM and GRU model to predict the SOH of the batteries
Crnn
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6
Ravdess_ser
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6
Simple speech emotion recognition (FC, GRU, LSTM) using RAVDESS dataset
Blockcirculantrnn
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6
BlockCIrculantRNN (LSTM and GRU) using TensorFlow
Eoe And Eosc
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6
keras(gru,lstm,bilstm),evaluation object extracted and semantic classification
Memory Transformer Xl
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6
A variant of Transformer-XL where the memory is updated not with a queue, but with attention
Gru
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6
GRU is a host-centric inventory management system. It is used to visualize and provide context on individual servers and more importantly, on groups of servers.
Southpark Chatbot
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6
A chatbot who talks like Cartman
Awesomedeeplearningguidance Timeseriesdata
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6
Application guidance of deep learning models(CNN, RNN, LSTNet and so on) on time series data
Time Series Model
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6
Model time series with multiple methods,including ARIMA ,ES,RNN,LSTM...
Image Captioning Via Yolov5 Encoderdecoderwithattention
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5
Image Captioning using combination of object detection via YOLOv5 and Encoder Decoder LSTM model
Tfcp
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5
Using GRU recurrent neural networks to generate code.
Gdu
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5
A general util for sequence data reading and TF model building, convenient involving ...
Gru Text Generator
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5
Implementation of character level auto text generator using multilayered GRU in Keras
Tree_structured_gru
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5
Implementation of Tree structured GRU using tensorflow
Enzyme Classification
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5
Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.
Hw3_language_model
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5
利用 PyTorch,本作业实现了一个基于word embedding和GRU的语言模型(Language Model,以下简称LM)。其包括一个encoder层、一个GRU层和一个decoder层,embe state维度均为1500,采用了自己搭建的带有Layer Normalization(LN)的GRU模块,运用了dropout、学习初始状态、锁定encode (PP)值为89.52,所得模型大小约为108M。
Nalu
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5
Humor_detection
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5
Natural Language Processing Project - CS622
Pytorch_rnn_sequence_generation
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5
Train an RNN using PyTorch to generate a sin wave
Rmvsnet Pytorch
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5
Deep Frost
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5
A poem generator based on text generation using GRU
Covid 19 Forecasting
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5
This repository contains the code for the paper: The effects of regularization on RNN models for time series forecasting: Covid-19 as an example.
Seq2seq_pytorch
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5
Sequence to sequence model learning with Pytorch
Enn
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5
Code for redundant product titles compression.
Dl For Har Comparison
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5
Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
Deep Query Classificaion
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5
GRU based Deep Query Classificaion, implemented using Tensorflow
Toxic Comments Rep
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5
Kaggle competition: Toxic Comment Classification Challenge
Scrnn Tensorflow
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5
Tensorflow implementation of SCRNN cell
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