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Search results for lstm neural networks
lstm-neural-networks
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220 search results found
Pytorch Kaldi
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2,138
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 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
Introneuralnetworks
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691
Introducing neural networks to predict stock prices
Predictive Maintenance Using Lstm
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507
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Stock Price Prediction Lstm
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425
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
Activity Recognition With Cnn And Rnn
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402
Temporal Segments LSTM and Temporal-Inception for Activity Recognition
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
Paraphraser
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381
Sentence paraphrase generation at the sentence level
Personality Detection
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273
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Lstm_rnn_tutorials_with_demo
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268
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Eqtransformer
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260
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
Ml Projects
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243
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Scribe
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234
Realistic Handwriting with Tensorflow
Da Rnn
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234
📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Awesome Tensorlayer
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212
A curated list of dedicated resources and applications
Chameleon_recsys
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202
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Lstm Siamese Text Similarity
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201
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Lstm_anomaly_thesis
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191
Anomaly detection for temporal data using LSTMs
Abnormal_event_detection
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172
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Aulas
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167
Aulas da Escola de Inteligência Artificial de São Paulo
Video2description
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153
Video to Text: Natural language description generator for some given video. [Video Captioning]
Rnn_lstm_from_scratch
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142
How to build RNNs and LSTMs from scratch with NumPy.
Phasedlstm Keras
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138
Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
Image Caption Generator
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136
[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Speech Recognition Neural Network
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128
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
Question Answering
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128
TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.
Understanding Pytorch Batching Lstm
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118
Understanding and visualizing PyTorch Batching with LSTM
Midi Rnn
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117
Generate monophonic melodies with machine learning using a basic LSTM RNN
Contextual Utterance Level Multimodal Sentiment Analysis
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116
Context-Dependent Sentiment Analysis in User-Generated Videos
Repo 2016
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105
R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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
Text_predictor
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99
Char-level RNN LSTM text generator📄.
Aspect Based Sentiment Analysis
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88
Aspect Based Sentiment Analysis
Object Tracking
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86
Multiple Object Tracking System in Keras + (Detection Network - YOLO)
Stock Prediction
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81
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Deep Drug Coder
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75
A tensorflow.keras generative neural network for de novo drug design, published in Nature Machine Intelligence while working at AstraZeneca.
Malware_api_class
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72
Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers
Pytorch Learners Tutorial
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71
PyTorch tutorial for learners
Bias Monitor
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71
A Chrome Extension that promotes politically diverse news reading with Artificial Intelligence!
Lstm Text Generation
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70
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣
Cnn_lstm_for_text_classify
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70
CNN, LSTM, NBOW, fasttext 中文文本分类
Cs224n_project
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65
Neural Image Captioning in TensorFlow.
Tess5train Fonts
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64
Files and Scripts to run Tesseract 5 LSTM Training using fonts
Deep Learning For Clustering In Bioinformatics
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62
Deep Learning-based Clustering Approaches for Bioinformatics
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.
Textgen
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61
Almost state of art text generation library
Sequence To Sequence Learning Of Financial Time Series In Algorithmic Trading
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61
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
Chase
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58
Automatic trading bot (WIP)
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
Multi Stage Convstar Network
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53
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Sarcasm Detection
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52
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Audio_classification_using_lstm
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48
Classification of Urban Sound Audio Dataset using LSTM-based model.
Human Activity Recognition Using Recurrent Neural Nets Rnn Lstm And Tensorflow On Smartphones
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46
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to
Max Weather Forecaster
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45
Predict hourly weather features given historical data for a specific location
Human Activity Recognition
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44
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, Sitting, Stairsup, StairsDown, Walking and Cycling.
Pytorch Lstm For Rul Prediction
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44
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
Text Generation Bilstm Pytorch
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43
In this repository you will find an end-to-end model for text generation by implementing a Bi-LSTM-LSTM based model with PyTorch's LSTMCells.
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
A Deep Learning Based Illegal Insider Trading Detection And Prediction Technique In Stock Market
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42
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the information is made public. Detecting illegal insider trading is difficult due to the complex, nonlinear, and non-stationary nature of the stock market. In this work, we present an approach that detects and predicts illegal insider trading proactively from large heterogeneous sources of structured and unstructured data using
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.
Human Activity Recognition
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40
Use a LSTM network to predict human activities from sensor signals collected from a smartphone
Deeplearning Padhai
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39
All the code files related to the deep learning course from PadhAI
Drowsydriverdetection
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39
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Image Captioning
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37
Image Captioning: Implementing the Neural Image Caption Generator with python
The Ultimate Google Tensorflow Developer Certificate Exam Study Guide
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35
Google TensorFlow Developer Certificate Study Guide
Lstm Rnn Vad
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34
Voice Activity Detection LSTM-RNN learning model
Rnn_sent
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34
Recurrent neural networks and Dynamic memory networks for sentiment classification
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.
Drug Drug Interaction Prediction
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30
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network
Tesla Stocks Prediction
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29
The implementation of LSTM in TensorFlow used for the stock prediction.
Quantifying Esg Alpha Using Scholar Big Data Icaif 2020
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28
Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.
Lstm Electric Load Forecast
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28
Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
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.
Deep Spell Checkr
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27
Keras implementation of character-level sequence-to-sequence learning for spelling correction
Simple Chatbot Keras
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27
Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
Deeplog
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26
This is the realization of core DeepLog
Contextuallstm
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26
Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning
Privapi
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25
Detect Sensitive REST API communication using Deep Neural Networks
Wind Energy Prediction Using Lstm
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25
Time Series Analysis using LSTM for Wind Energy Prediction.
Parapred
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25
Paratope Prediction using Deep Learning
Neural Networks
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24
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Generativelstm
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24
Learning Accurate Generative Models of Business Processes With LSTM Neural Networks
Udacity Computer Vision Nanodegree Program
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24
This repositary contain all my exercises and projects of Udacity Computer Vision Nanodegree Program
Tensorflow Sentiment Analysis On Amazon Reviews Data
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23
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
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
Traffic Speed Prediction
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23
Using to predict the highway traffic speed
Ml Spam Sms Classification
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23
Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification
Stock Predictor V4
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21
A reinforcement learning model specialized in stock prediction utilizing deep learning techniques, incorporating reward mechanisms, compatible with any machine equipped with Python.
Recurrent Deep Q Learning
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21
Solving POMDP using Recurrent networks
Medical Image Captioning On Chest X Rays
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21
Medical Image captioning on chest X-rays
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.
Stock Market Probabilities Deep Learning
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20
Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen.
Sentiment Analysis Amazon Products Reviews
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20
NLP with NLTK for Sentiment analysis amazon Products Reviews
Nonlincausality
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20
Python package for Granger causality test with nonlinear forecasting methods.
Ner Lstm Cnn Pytorch
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18
End-to-end-Sequence-Labeling-via-Bi-directional-LS
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