reccurent-neural-network

Here are 57 public repositories matching this topic...

omerbsezer / LSTM_RNN_Tutorials_with_Demo

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

lstm-neural-networks price-prediction reccurent-neural-network

Updated Mar 12, 2024
Python

georgeyiasemis / Recurrent-Neural-Networks-from-scratch-using-PyTorch

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LSTM, RNN and GRU implementations using Pytorch

pytorch lstm gru rnn reccurent-neural-network

Updated Mar 27, 2021
Python

TheAnkurGoswami / Human-Violence-Detection

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A human violence detection & classification system using recurrent neural networks(RNN).

deep-learning keras rnn violence-detection yolov3 reccurent-neural-network

Updated Oct 3, 2023
Python

reservoirpy / awesome-reservoir-computing

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Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).

awesome esn rnn awesome-list echo-state-networks reservoir-computing artifical-neural-network reccurent-neural-network

Updated Nov 18, 2021

tomtom94 / stockmarketpredictions

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Educational predictions on stock market with Tensorflow.js sequential RNN with LSTM layers on a React web App.

react machine-learning stock-market stock-price-prediction lstm-model financial-analysis rnn-tensorflow lstm-neural-networks prediction-model tensorflowjs reccurent-neural-network

Updated Apr 13, 2023
JavaScript

purvasingh96 / Deep-learning-with-neural-networks

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This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.

Updated Mar 14, 2021
Jupyter Notebook

dksifoua / Stock-Market-Prediction

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Stock Market Prediction on High-Frequency Data Using soft computing based AI models

python deep-neural-networks random-forest generative-adversarial-network logistic-regression convolutional-neural-networks decision-trees support-vector-machines gaussian-processes bayesian-optimization technical-indicators dimension-reduction stacking gradient-boosting computational-finance stock-market-prediction high-frequency-trading stacked-autoencoder reccurent-neural-network

Updated May 22, 2023
Jupyter Notebook

DES-Lab / Extracting-FSM-From-RNNs

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Black-box extraction of Finite-State Machines from RNNs.

lstm gru explainable-ai reccurent-neural-network black-box-testing automata-learning

Updated Apr 14, 2022
Python

anjandeepsahni / speech_phoneme_prediction

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Phoneme prediction from speech mel-spectrograms using RNN.

deep-learning speech lstm reccurent-neural-network phoneme-prediction mel-spectrogram-frame

Updated Jun 4, 2019
Python

DeekshithRajBasa / Train-time-delay-prediction-using-machine-learning

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Train Time Delay Prediction using machine learning

machine-learning neural-network python3 webscrapping reccurent-neural-network

Updated Mar 27, 2024
Python

shubhamtiwari10 / Modeling-System-Resource-Usage-for-Predictive-Scheduling

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A machine learning-based solution for real-time resource allocation in the cloud (Time-series forecasting)

regression timeseries-analysis sagemaker reccurent-neural-network

Updated Jul 7, 2021
Jupyter Notebook

bill-kalog / S-LSTM_pytorch

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sentence-state LSTM in PyTorch

text-classification pytorch reccurent-neural-network

Updated Jul 9, 2018
Python

NemesLaszlo / Social-Media-Analysis-based-on-COVID-19-with-Sentiment-Analysis-NER-and-Information-Extraction

Sponsor

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This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.

data-science tensorflow keras data-visualization information-extraction named-entity-recognition nltk bert textblob reccurent-neural-network

Updated Sep 3, 2021
Jupyter Notebook

liminchen / BPTTTutorial

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This MATLAB program implements the complete BPTT process for GRU. We provide two algorithms here, a direct but quadratic time algorithm for easy understanding, and an optimized linear time algorithm.

machine-learning natural-language-processing deep-learning neural-network backward-propagation-through-time reccurent-neural-network

Updated May 5, 2020
MATLAB

Rajspeaks / Deep-Learning-Coursera-Specialization-Programming-Assignments

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Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)

deep-neural-networks deep-learning neural-network jupyter-notebook coursera python3 convolutional-neural-networks coursera-assignment deeplearning-ai coursera-specialization reccurent-neural-network rajspeaks rajdeep-das

Updated Oct 2, 2021
Jupyter Notebook

Dave-Vedant / Deep_Learning_NanoDegree-Udacity

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This repository contains different projects and deep learning concept notebooks. I mostly used PyTorch to develop ANN, RNN, CNN, GAN/DCGAN algorithms. I used AWS services such as Sagemaker, lambda, Restful API, EC2 and EMR during learning phase. 'Orca is deep diver dolphin, shows my honest approach to deep dive in the field of AI.