rnn-model

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)

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.

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

NN4Neurosim/nn4n

Efficient-Scalable-Machine-Learning/EvNN

Event-based neural networks

SanjoShaju/Cryptocurrency-Analysis-Python

Time series forecasting using RNN, Twitter Sentiment Analysis and Turtle Trading Strategy applied on Cryptocurrency

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。

NidhiSalian/DeepLearning-Chatbot

Annabelle the noob. An experimental, incomplete(at present) chatbot.

adi2381/ai-chatbot

An AI chatbot built using SEQ2SEQ Model

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.

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

eakgun/Time-Series-Prediction-With-RNNs

Generalized Implementation of RNNs for Chaotic Time Series Prediction

noureldinalaa/depression_detector

Depression detection from social media

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.

tarcisio-marinho/Music-Generation

Piano music generation with RNN with Tensorflow

kanch91/project-energy

Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.

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)

BinFuPKU/pytorch-practice

个人实现pytorch高级编程，包括基本知识、卷积神经网络、循环神经网络、生成对抗、模型部署和分布式训练（2022)

Central-Cee/-Network-Intrusion-Detection-System-

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

hammaad2002/Solar-Irradiance-Forecasting-Using-Deep-Learning-Techniques

Solar Irradiance Forecasting Using Deep Learning Techniques