rnn-model
There are 165 repositories under rnn-model 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.
prakashpandey9/Text-Classification-Pytorch
Text classification using deep learning models in Pytorch
JusperLee/Dual-Path-RNN-Pytorch
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
zhongkaifu/RNNSharp
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, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
rajshah4/tensorflow_shiny
A R/Shiny app for interactive RNN tensorflow models
thibo73800/deep-generation
I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
ShashankSinha98/Food-Ordering-Application-with-Review-Analyzer
A food ordering android application with feedback analyzer to improve food suggestions to customer.
ntrang086/image_captioning
generate captions for images using a CNN-RNN model that is trained on the Microsoft Common Objects in COntext (MS COCO) dataset
AvinashNath2/Recurrent-Neural-Network-for-BitCoin-price-prediction
Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction
TatevKaren/recurrent-neural-network-pricing-model
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)
nursnaaz/Deeplearning-and-NLP
Deep Learning notes and practical implementation with Tensorflow and keras. Text Analytics and practical application implementation with NLTK, Spacy and Gensim.
renuka-fernando/sinhalese_language_racism_detection
Sinhalese Language based Hate Speech Detection
SanjoShaju/Cryptocurrency-Analysis-Python
Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency
Shaik-Sohail-72/Network-Intrusion-Detection-Using-Deep-Learning
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System.
Efficient-Scalable-Machine-Learning/EvNN
Event-based neural networks
NidhiSalian/DeepLearning-Chatbot
Annabelle the noob. An experimental, incomplete(at present) chatbot.
adi2381/ai-chatbot
An AI chatbot built using SEQ2SEQ Model
xinzcode/QA_BiLSTM
A QA System based by BiLSTM. 一个基于双向LSTM的智能问答系统，有交互界面、详细注释、多版本、能运行、文件齐全。
Little-girl-1992/RAE
基于tensorflow搭建的神经网络recursive autuencode，用于实现句子聚类
AlbertoCenzato/pytorch_model_zoo
A repository for my pytorch models
iAmKankan/Neural-Network
Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3
simoninithomas/Time-series-prediction-and-text-generation
Built RNNs that can generate sequences based on input data - with a focus on two applications: used real market data in order to predict future Apple stock prices using an RNN model. The second one will be trained on Sir Arthur Conan Doyle's classic novel Sherlock Holmes and generates wacky sentences based on it that may - or may not - become the next great Sherlock Holmes novel.
SongChiyoon/Stock_Prediction
make stock prediction model using Tensorflow, Python and web crawling
zhaozewang/NN4Neurosci
Neural Networks for Neuroscience Tasks
tarcisio-marinho/Music-Generation
Piano music generation with RNN with Tensorflow
eakgun/Time-Series-Prediction-With-RNNs
Generalized Implementation of RNNs for Chaotic Time Series Prediction
kanch91/project-energy
Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.
noureldinalaa/depression_detector
Depression detection from social media
dikshant2210/UCF101-Classification
Analyze and classify videos in the UCF101 dataset
GINK03/keras-enigma-rnn
kerasのRNNでEnigmaを解きます
anshul1004/LyricsGenerator
Song lyrics generation using Recurrent Neural Networks (RNNs)
shubhammola/NIDS
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning, Recurrent Neural Network models, MERN web I/O System.
briancheang/dr-seuss
Char-RNN generated Dr. Seuss
hammaad2002/Solar-Irradiance-Forecasting-Using-Deep-Learning-Techniques
Solar Irradiance Forecasting Using Deep Learning Techniques
MohdSaif-1807/Network-Intrusion-Detection-System-Using-Machine-Learning-and-Deep-Learning
Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System. The deployed project link is as follows.
SuvabBaral/LSTM-for-Predicting-the-next-app-to-use.
Recurrent Neural Network to predict the next app to be used, using Python and Keras.