rnn-model

Here are 180 public repositories matching this topic...

mravanelli / pytorch-kaldi

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm

Updated Mar 14, 2022
Python

prakashpandey9 / Text-Classification-Pytorch

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Text classification using deep learning models in Pytorch

text-classification pytorch lstm-model glove rnn-model sentiment-classification attention-model self-attention

Updated Nov 17, 2018
Python

JusperLee / Dual-Path-RNN-Pytorch

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Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

deep-learning pytorch rnn-model speech-separation speech-separation-algorithm

Updated Feb 14, 2023
Python

zhongkaifu / RNNSharp

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RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, se…

nlp c-sharp machine-learning deep-learning dotnet crf recurrent-neural-networks lstm rnn sequence-labeling rnn-model

Updated Aug 3, 2020
C#

rajshah4 / tensorflow_shiny

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A R/Shiny app for interactive RNN tensorflow models

shiny tensorflow rpython rnn-model tensorflow-models

Updated Oct 26, 2016
Jupyter Notebook

thibo73800 / deep-generation

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I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

deep-learning tensorflow lstm rnn-model lstm-neural-networks

Updated Nov 27, 2017
C

ShashankSinha98 / Food-Ordering-Application-with-Review-Analyzer

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A food ordering android application with feedback analyzer to improve food suggestions to customer.

android java review feedback android-application android-applications paytm rnn-model food-recommendation order-food food-delivery-application dishes food-ordering tflite paytm-payment-gateway food-score review-analyzer restaurant-manager

Updated Nov 26, 2020
Java

ntrang086 / image_captioning

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generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset

nlp computer-vision cnn pytorch image-captioning rnn-model encoder-decoder mscoco

Updated Jun 7, 2018
Python

AvinashNath2 / Recurrent-Neural-Network-for-BitCoin-price-prediction

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Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

python neural-network bitcoin keras prediction cnn rnn deeplearning rnn-tensorflow keras-neural-networks rnn-model keras-tensorflow

Updated Oct 24, 2021
Python

TatevKaren / recurrent-neural-network-pricing-model

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Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

machine-learning google deep-learning bitcoin tensorflow scikit-learn keras pandas recurrent-neural-networks lstm stock-price-prediction stock-prices rnn-model bitcoin-price price-prediction google-stock-prices case-study-paper

Updated Nov 2, 2023
Python

Shaik-Sohail-72 / Network-Intrusion-Detection-Using-Deep-Learning

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Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.

nodejs machine-learning mongodb deep-learning reactjs tensorflow network cybersecurity classification nids knn rnn-model network-intrusion-detection mern-stack detect-anomalies nsl-kdd

Updated Aug 10, 2023
EJS

nursnaaz / Deeplearning-and-NLP

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Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.