vgp314/deep-learning-image-captioning

Define and train an image-to-caption model, that can produce descriptions for real world images! Week 6 of Deep Learning Course from Coursera!

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rsyed0/mquery

Algotrading toolkit using customizable strategies, genetic algorithms, and RNN-based strategies

Language: Python - Size: 29 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

Mihryam/UnsupervisedTimeSeries_AnomalyDetection

Anomaly detection model for the pressure values of a separator tank for oil production.

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rcshivaji/Sentiment-Analysis--Classification-of-Sexually-Harassing-Tweets

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SinaRaoufi/tesla-stock-price-prediction

Tesla stock price forecasting with LSTM using Pytorch 📈

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ericsoderquist/SentimentAnalysis_IMDB_RNN

Sentiment Analysis of IMDB Movie Reviews using a Hand-Crafted Recurrent Neural Network.

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noernimat/deep_learning_for_nlp

Sentiment analysis using deep learning

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Kmohamedalie/Timeseries-with-LSTM

Timeseries with Classical and Deep Learning techniques

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dibyansu24-maker/Neural-Image-Caption-Generator

Automatically describing the content of an image fundamental problem in artificial intelligence that connects computer vision and natural language processing.

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nabin-nath/RNN-Based-Electricity-Theft-Detection

Btech Major Project 2

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FatbardhKadriu/Sentiment-analysis-per-texts-in-Albanian-tongue

This study was conducted at the Faculty of Electrical and Computer Engineering as a Bachelor thesis.

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DorinK/RNN-Acceptors-and-BiRNN-Transducers

Third Assignment in ׳Deep Learning for Texts and Sequences׳ course by Prof. Yoav Goldberg at Bar-Ilan University

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ighosh98/aic-reflexis-optimizer

Solution for Apogee Innovation Challenge Problem Statement of Reflexis

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sabbir2609/Time-Series-Forecasting-RNN-LSTM

This project is focused on Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) cells.

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lstasiak/Neural_network-based_weighing_system

Neural network-based payload determination for moving excavator it's an academic (lab) project based on research on the mini excavator in the laboratory of the Wrocław University of Science and Technology (PL). Project is in the initial phase, requires further improvements based on a larger number of measurements.

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dchatca/Fake-news-classification

Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).

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Jeff-Winchell/Sentence_Restoration

Sentence Restoration from Automated Speech Recognition Transcripts. Unlike Sentence Boundary Disambiguation or Punctuation Restoration, this project has the limited but important (from an NLP perspective) task of taking automated speech transcripts which have zero punctuation and building sentences from them, necessary for all downstream NLP tasks.

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panagiotisgia/NLP_projects

We will perform sentiment analysis in a review dataset and we will compare all the methods available. From mostly linear models to Multi-Layer Perceptron (MLP) to Recurrent Neural Networks (RNN).

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slrbl/future-prediction-using-tweets-and-ai

Prediction big events using data from time series data from hedonometer

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koalalovepabro/AI_Study

Koala's Toy Project

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Marcelaus98/CfC-for-Weather-Science

Research on Weather Science using Neural Networks Transformers black box approach

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Marcelaus98/CfC-for-Material-Science

Research on Material Science using Neural Networks black box approach

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Gitster7/AI-Music-Generator

In this project we will be building a model capable of generating notes and chords after learning from the dataset of songs we provide to our recurrent neural network and create songs. Before we start, let us recall few of the basic concepts and terminologies we will be using in this project and add to that knowledge the concepts required to successfully train our model to be an excellent composer.

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TravisMai/CO3029_DataMining_HK222

Stock price prediction using LSTM, GRU and LSTM + GRU (base on VNINDEX)

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Abhradipta/Fake-News-Detection

Fake News Detection Using Recurrent Neural Networks (RNNs) & Long Short Term Memory (LSTM).

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lyfeyvutha/Character_Level_RNN

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ZahraBenslimane/Neural-Machine-Translation-by-Jointly-Learning-to-Align-and-Translate

Neural machine translation is a recently proposed approach to machine translation. Unlike the traditional statistical machine translation, the neural machine translation aims at building a single neural network that can be jointly tuned to maximize the translation performance.

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jashdubal/stackoverflow-classification

PyTorch project that uses Recurrent Neural Networks (RNNs) to classify Stack Overflow posts into three main categories: Spark, Machine Learning, and Security.

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sphamtambo/lstm-drug-discovery

Biological activity prediction of HIV compounds using LSTM models.

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Ertugrulmert/ECG-Time-Series-Classification

Deep learning models for classifying ECG time series

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aldimeolaalfarisy/Tweet-Sentiment-Analysis

Tweet sentiment Analysis using deep learning method and model deployment using Flask and Swagger

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mounalab/Multivariate-time-series-forecasting-keras

This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron

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oghahroodi/Lip-Recognition 📦

Language: Python - Size: 356 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 2

chnk58hoang/Vietnamese_Handwriting_Recognition

This repository is a Pytorch implemented version for CRNN OCR model

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mpolinowski/tf-keras-2023

Keras for Tensorflow 2023

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notslok/Audio-Deep-learning

Deep learning pipeline dealing with audio use cases.

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Ankit-Kumar-Saini/Coursera_Deep_Learning_Specialization

Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classification, object detection, and sequence processing (including transformers implementation) in TensorFlow.

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exchhattu/TimeseriesWeatherForecast-RNN-GRU-LSTM

Weather forecasting using recurrent neural network

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Eugenio350/Neural_LSTM

Application for the creation of long short term memory artificial neural networks for stock price prediction

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likereal/Predictive-Stock-Market-Analysis-Utilizing-Recurrent-Neural-Networks-AIML-deep-learning-

By leveraging Artificial Intelligence and Machine Learning techniques, specifically by utilizing Recurrent Neural Networks (RNN) to create a deep learning model for predicting stock prices, demonstrating proficiency in advanced data analysis and modeling techniques to forecast market trends and make informed investment decisions.

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FrancescoGradi/DocumentClassificationwithHANandBERT

Comparison between RNNs and Attention in Document Classification

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AHMEDSANA/Twitter-Sentiment-Analysis-using-RNN-LSTM

In this Project we will train our RNN model by giving it different tweets and then predict the sentiments of the tweets.

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mituskillologies/deep-learning-imscdr

This repository contains the programs conducted by Tushar B. Kute at IMSCDR, Ahmednagar for Subject KRAI especially for Deep Learning topic. The study material can be downloaded from: https://mitu.co.in/krai-mca-sppu

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ilenhanako/NTU-SCSE-Challenge-2021

ML competition - evaluate handwritten math expressions using deep learning (CNN & RNN)

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AkhilRD/BiLSTM-IMDb-Review-Sentiment

Bidirectional Long Short-Term Memory Network to predict review sentiment as positive or negative

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himankpathak/stockmarket-prediction

Predicting stock market prices using RNN with LSTM

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jiunting/MLARGE

Scripts for M-LARGE training and analysis

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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.

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KTong06/-RNN-COVID19_Case_Predict

An LSTM model to forecast COVID-19 daily cases.

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anjanatiha/Twitter-US-Airline-Sentiment

Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)

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neeru1207/RNN-to-predict-Google-Stock-Prices

RNN using LSTM layers in coded in Python using Keras to predict Google open stock prices.

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codexmirabilis/spanish-tarahumara-translator

Certification Artificial Intelligence Engineer Final Project

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mohammadmehdikeramati/RNNs-problems.solutions

Solving some common problems about RNNs

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Jayveersinh-Raj/intro_NLP_tensorflow

This is a very brief notebook on NLP, it contains a "Disaster Analysis" project in which all the possible architectures were shown and described briefly.

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robertocarlosmedina/rnn-lstm-translator

Long Short-Term Memory (LSTM) Model Implementation in order to train it to translate over Cap-verdian criole to English.

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kumarpython/Deep-Learning

Deep Learning using Python & Deep Learning using Tensorflow-Keras

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NicolasStellisano/Recurrent_Neural_Network_Stock_Market_Project

Python Recurrent Neural Network (RNN) LSTM model for Stock Market Prediction

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jonzamora/Motion-Prediction-Autonomous-Vehicles

Motion Prediction with LSTM RNNs for Autonomous Vehicles 🧠 🚙

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yvgupta03/ML_USA_pollution_prediction

LSTM (RNN) analysis of Time Series data (pollutant metrics) of 4 different pollutants (NO2, SO2, CO, O3) over US data.

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jahid-jabed/ratings_cal_zoom

BERT-based senti- ment annotation is used to create unbiased datasets and then hybridize RNN with LSTM to find calculated ratings based on this unbiased reviews dataset.

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Himangshu1086/Stock-Prediction--NN

Build a Neural Network model to predict the stock prices on daily basis. Implemented LSTM model, which is a special RNN technique, using tensorflow2.0 which gives an accuracy of about 96%.

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divyankm/Datasets-for-ML-NLP

Datasets for EDA,ML Algo and NLP

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zixi-liu/Sentiment-Analysis-LSTM

Implementation of Long short-term memory (LSTM) architecture for sentiment analysis on IMDB Movie Review.

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arnabaghorai/MusicalAudioClassification

Language: Jupyter Notebook - Size: 166 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

BodyCSoulN/text_generation

A novel prediction using RNN model with torch.

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ResitKadir1/Energy-Demand

Time Series Forecasting -

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milad-s5/DL_HW3_RNN

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kshitij-raj/Stock-Price-Prediction-LSTM

The following repository contains Google Stock Price Prediction using Keras LSTM Model. The closing stock prices have been predicted based on the previous 5 years' data extracted from https://api.tiingo.com/.

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jungsoh/rnn-character-level-language-model

Recurrent neural network for building a character-level language model and its application to generating new dinosaur names

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SoundaryaMiranam/Stock-Price-Prediction

This project uses sentiment analysis using tweepy and textblob and Deep Learning model, Long-Short Term Memory (LSTM) Recurrent neural network (RNN) algorithm to predict closing prices of stocks.

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easonlai/stock_forecast_lstm

This is a demo repo to demonstrate how to use the famous type of Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) to forecast time-series data of stock price.

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najwasaeed44/TV_Script_Generation

TV Script Generation with RNN with Udacity

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ArhumIshtiaq/autocomplete

📝 This repo is a supplement to my video on AI-based autocomplete tools as part of my series AI does AI (https://www.youtube.com/watch?v=QdsEeFmbOyw)

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dattranm/poetry_rnn

Poetry Generation Using LSTM

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oaowren/TDT4173---Machine-Learning

Online Stack Overflow question quality classifier using KNN, Naive Bayes and RNN/LSTM made for the course TDT4173 at NTNU.

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teambeca/beca-storybot

Herkes için Açık Kaynak NLP Veri Kümesi

Language: Python - Size: 141 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

anomam/handwriting-pytorch

:pencil2: Handwriting generation with RNNs and Pytorch

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Nawinjith/Coursera-Natural-Language-Processing-Specialization

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 5

lucifermorningstar1305/tweet_sentiment_classifier

Given a tweet, its objective is to determine the sentiment of the tweet (whether it is positive or negative) and based on that responsibility to the user

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Premchand95/Sentiment-Analysis-of-Reviews-using-Machine-Learning-algorithms-on-Textual-data

CSCI 59000 BIG DATA ANALYTICS PROJECT

Language: Python - Size: 87.2 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

vishnu1710/Neural_Networks

DeepLearning Course

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ligerfotis/Motion_Intention_Anticipation

RNN-LSTM Model that predicts the class of anticipated human's motion.

Language: Python - Size: 13.7 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

AviKasliwal/emojiPrediction

emoji prediction using LSTM

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guanzgrace/predicting-patient-volume

Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis [Presented at MLHC 2019]

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Msq-9/image-captioning

Generating caption for a given image

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vcwild/rnn-bike-predict

A deep learning project for Time Series Forecasting of bike count by using Recurrent Neural Networks and UCI Bike Sharing Dataset.

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Suvixx/Novel-recurrent-neural-network-for-modelling-biological-networksOscillatory-p53-interaction-dynamics

The implementation of model V from the paper - "Novel-recurrent-neural-network-for-modelling-biological-networksOscillatory-p53-interaction-dynamics"

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HamedBabaei/music-generation

Music Generation

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siddheswarc/LID-using-CRNNs

Language Identification using Deep Convolutional Recurrent Neural Networks

Language: Python - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2

Jairus313/TimeSeries_using_LSTM

Here I have implemented RNN with LSTM for Univariate Time Series dataset from one of the kaggle competition

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GihanJ/Human_Activity_Recognition

A machine learning project to predict human activities in an android environment

Language: Python - Size: 19.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

rohitrawat13396/Computer-Vision-Action-Recognition-using-Recurrent-Neural-Network-LSTM

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lapidshay/RealOrNotNLPDisasterTweets

A Bi-Directional LSTM solution for Kaggle challenge "Real or Not? NLP with Disaster Tweets"

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Masum06/GenderViz

Visualize interactions between different genders in any given text.

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scionoftech/Paraphrase_Detection

Paraphrase Detection with Deep Learning using Keras

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RatJuggler/dinosaur-generator

Dinosaur name generator.

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1

the-code-experiments/experiment-rnn

Learning the basics of RNN

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DarshanAdiga/neural-network-samples

Sample notebooks/snippets related to my neural networks experiments

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blair49/Text-Summarization Fork of nikhilcss97/Text-Summarization

Jupyter notebooks for text summarization using Deep Learning techniques

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