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Search results for jupyter notebook lstm neural networks
jupyter-notebook
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lstm-neural-networks
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79 search results found
Deep Learning Time Series
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1,811
List of papers, code and experiments using deep learning for time series forecasting
Stockpriceprediction
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1,132
Stock Price Prediction using Machine Learning Techniques
Stock Prediction Deep Neural Learning
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385
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Da Rnn
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234
📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Scribe
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234
Realistic Handwriting with Tensorflow
Lstm_anomaly_thesis
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191
Anomaly detection for temporal data using LSTMs
Aulas
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167
Aulas da Escola de Inteligência Artificial de São Paulo
Rnn_lstm_from_scratch
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142
How to build RNNs and LSTMs from scratch with NumPy.
Image Caption Generator
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136
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Understanding Pytorch Batching Lstm
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118
Understanding and visualizing PyTorch Batching with LSTM
Stock Market Scraper
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104
Scraps historical stock market data from Yahoo Finance (https://finance.yahoo.com/)
Deep Learning Coursera
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102
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Cryptocurrency Prediction With Artificial Intelligence
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101
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
Pytorch Learners Tutorial
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71
PyTorch tutorial for learners
Cs224n_project
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65
Neural Image Captioning in TensorFlow.
Textgen
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61
Almost state of art text generation library
Yelp_comments_classification_nlp
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61
Yelp round-10 review comments classification using deep learning (LSTM and CNN) and natural language processing.
Predictive Maintenance Of Aircraft Engine
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54
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Time Series Analysis And Forecasting With Python
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53
Time Series Analysis and Forecasting in Python
Lstm Footballmatchwinner
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43
This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote
Stock_price_prediction_with_rnns
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42
Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.
Deeplearning Padhai
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39
All the code files related to the deep learning course from PadhAI
Deep Learning
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31
Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.
Tesla Stocks Prediction
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29
The implementation of LSTM in TensorFlow used for the stock prediction.
Lstm Radar Precipitation Forecast
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28
A model for short-term precipitation forecasting based on radar data
Music.generation.with.deeplearning
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27
Generating Music and Lyrics using Deep Learning via Long Short-Term Recurrent Networks (LSTMs). Implements a Char-RNN in Python using TensorFlow.
Wind Energy Prediction Using Lstm
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25
Time Series Analysis using LSTM for Wind Energy Prediction.
Udacity Computer Vision Nanodegree Program
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24
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
Neural Networks
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24
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Speech_emotion_recognition
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23
In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conven
Medical Image Captioning On Chest X Rays
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21
Medical Image captioning on chest X-rays
Recurrent Deep Q Learning
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21
Solving POMDP using Recurrent networks
Conjexure A Web App For Stock Market Forecasting
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20
Conjexure is a machine learning web app for forecasting the stock prices of certain companies into the future.
Sentiment Analysis Amazon Products Reviews
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20
NLP with NLTK for Sentiment analysis amazon Products Reviews
Ner Lstm Cnn Pytorch
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18
End-to-end-Sequence-Labeling-via-Bi-directional-LS
Timeseriesprediction
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17
Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走势预测,有状态循环神经网络
Generating_music
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16
Trained on Bach, used LSTMs to generate new music. (Detailed writeup: "Final Writeup - Generating Music using an LSTM Network.pdf")
Stein Variational Samplers
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14
Python and MATLAB code for Stein Variational sampling methods
Ocr
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14
⚙️ Optical Character recognition using deeplearning
Challenges
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14
Mono-repo containing several challenges in a variety of Data Science and Machine Learning topics.
Btc_rl_trading_bot
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14
A trading bitcoin agent was created with deep reinforcement learning implementations.
Tariq Ml Models
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14
This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.
Human_activity_recognition
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14
A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.
Ntua Slp Nlp
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13
💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA
Deep Learning Image Caption Generator
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11
Deep CNN-LSTM for Generating Image Descriptions 😈
Stock_price_forecasting_hybrid_model
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11
Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)
Machinelearning_nilm
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10
Undergraduate research by Yuzhe Lim @ Spring 2019. Field of research: Deep Neural Networks application on NILM (Nonintrusive load monitoring) for Energy Disaggregation
Neuralpersianpoet
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10
Neural Persian Poet: A sequence-to-sequence model for composing Persian poetry
Predicting The Closing Stock Price Of Apple Using Lstm
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10
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
Stock Price Predictor
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9
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Natural Language Processing
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9
This repository contains my notes and codes which I will refer in future projects
Computer Vision
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9
Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV
Image Caption Generation
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8
Image Captioning: Implementing the Neural Image Caption Generator
Timeseries Lstm Keras
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8
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee
Cse327_computer_vision
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7
Ethereum Price Prediction
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7
This Repository includes files of project predicting Cryptocurrency Ethereum price using Twitter sentiments and Machine Learning
Stock_price_predictor
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7
Stock Price Predictor with Deep Learning
Neural Network
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7
Deep Learning, Attention, Transformers, BERT, GPT-2, GTP-3
Multivariate Analysis Oil Price Prediction Using Lstm Gru
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7
Comparing Long Term Short Memory (LSTM) & Gated Re-current Unit (GRU) during forecasting of oil price .Exploring multivariate relationships between West Texas Intermediate and S&P 500, Dow Jones Utility Avg, US Dollar Index Futures , US 10 Yr Treasury Bonds , Gold Futures.
Ntua Multi Criteria Decision Analysis
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7
📈Multiple-Criteria Decision Analysis (MCDA) techniques enhanced with Deep Learning Techniques to solve a Securities Selection (Stocks) problem
Genre Melodies
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7
Create genre-specific melodies using Magenta
Pocketanalyst
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7
Cal Hacks 6.0 Project (Best Goldman Sachs API Implementation): Interacts with the user via a chat bot and makes reliable investment recommendations based on various Machine Learning models.
Emoji Prediction Using Deep Learning
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7
This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.
Stock Market Prediction
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6
An attempt to predict the Stock Market Price using Long Short Term memory and plot its chart. By tweaking different hyper parameters, we get different trained models. The aim of this project is to identify the relation hidden in these hyper parameters.
Chromecast_vad
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6
RNN implementation of a voice activity detector to control Chromecast device volume.
Schedule_sampling_seq2seq_movie_script_chatbot_pytorch
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6
Build a chatbot based on gender with Seq2Seq and Schedule-Sampling Seq2Seq with PyTorch
Learning2learn
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6
This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.
Cryptocurrency_market_prediction
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6
Time Series based analysis of cryptocurrency prediction using deep learning models
Sentiment Analysis Reviews
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6
Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).
Exploratory_data_analysis_and_ml_projects
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6
Several datasets are manipulated, visualized, and analyzed with well-known ML Algorithms to make predictions, clustering, or classifications.
Project_rnn
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6
Understanding the architecture of Recurrent Neural Network and implemented them in code using Tensorflow Libraries.
Predicting Indian Stocks Price With Stacked Lstm
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6
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Bitcoin Price Prediction
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6
Bitcoin Price Prediction using LSTM
Ai Music Generator
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6
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.
Lstm For Human Activity Recognition Classification
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5
Deep convolutional and LSTM feature extraction approach with 784 features.
Crossai Lib
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5
An open-source library that consists of high-level functionalities capable of developing ML pipelines for Time-Series Analysis regarding Audio, Speech, and finally, Human Activity Recognition.
Deep Learning
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5
This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.
Bazingabot
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5
Simple but effective Knowledge-bot built with Seq2Seq and LSTM
Lstm Ecg
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5
Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network
Stock Prediction Portfolio Optimization
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5
A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.
Time Series Forecasting Using Lstm
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5
Time-Series Forecasting on Stock Prices using LSTM
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