Projects in Awesome Lists tagged with lstm-model

https://github.com/dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

cnn-bilstm cnn-model gru highway-cnn lstm-model model-bilstm pytorch torchtext

Last synced: 15 Dec 2024

https://github.com/echowei/DeepTraffic

Deep Learning models for network traffic classification

cnn-model deep-learning encrypted-traffic lstm-model malware-analysis traffic-analysis traffic-classification

Last synced: 11 Nov 2024

https://github.com/jordicorbilla/stock-prediction-deep-neural-learning

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

crypto cryptocurrency deep-learning deep-neural-networks finance jupyter-notebook lstm lstm-model lstm-neural-networks machine-learning market-data recurrent-neural-networks stock stock-prediction stock-prices time-series yfinance

Last synced: 21 Dec 2024

https://github.com/jinglescode/time-series-forecasting-pytorch

Acquiring data from Alpha Vantage and predicting stock prices with PyTorch's LSTM

deep-learning lstm-model machine-learning neural-network python pytorch time-series-forecasting

Last synced: 16 Dec 2024

https://github.com/Moving-AI/virtual-walk

Virtual walks in Google Street View using PoseNet and applying Deep Learning models to recognize actions.

google-maps google-street lstm-model posenet tensorflow virtual-reality webcam

Last synced: 15 Nov 2024

https://github.com/philipperemy/tensorflow-phased-lstm

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

deep-learning lstm-model machine-learning mnist-dataset recurrent-networks tensorflow tensorflow-1-0

Last synced: 12 Nov 2024

https://github.com/miteshputhran/image-caption-generator

The LSTM model generates captions for the input images after extracting features from pre-trained VGG-16 model. (Computer Vision, NLP, Deep Learning, Python)

bleu-score caption-generator computer-vision flickr image-captioning jupyter-notebook lstm-model machine-learning natural-language-processing python

Last synced: 08 Nov 2024

https://github.com/yuchenlin/lstm_sentence_classifier

LSTM-based Models for Sentence Classification in PyTorch

lstm-model nlp pytorch sentence-classification

Last synced: 28 Oct 2024

https://github.com/thtrieu/essence

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

auto-differentiation cartpole computational-graphs convolutional-networks convolutional-neural-networks deep-learning deep-q-network dropout lenet lstm lstm-model machine-learning mnist neural-turing-machines question-answering recurrent-neural-networks reinforcement-learning

Last synced: 09 Nov 2024

https://github.com/dalinvip/pytorch_highway_networks

Highway Networks implement in pytorch

cnn-model highway-network lstm-model pytorch

Last synced: 29 Nov 2024

https://github.com/ritu-thombre99/rul-prediction

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

linear-regression logistic-regression lstm-model lstm-neural-networks phm phm-models random-forest regression regression-models remaining-useful-life rul vector-autoregression

Last synced: 09 Nov 2024

https://github.com/tarcisio-marinho/music-generation

Piano music generation with RNN with Tensorflow

lstm lstm-model lstm-neural-networks music music-generation music-generator recurrent-neural-network recurrent-neural-networks rnn rnn-model rnn-tensorflow tensorflow tensorflow-models

Last synced: 20 Dec 2024

https://github.com/imdeepmind/generatingtextwithlstm

The aim of this project is to generate text using LSTM Recurrent Neural Networks. LSTM Recurrent Neural Networks are powerful Deep Learning models that are used for learning sequenced data. Here a LSTM model is trained on 200 million samples, and the idea is that after training on 200 million samples, it should be able to generate text.

deep-learning keras lstm-model machine-learning python recurrent-neural-networks text-generation

Last synced: 11 Oct 2024

https://github.com/meitarbach/nba-individual-predictions-lstm

NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami

fantasy-basketball ipynb-notebook lstm-model nba-prediction neural-networks

Last synced: 11 Oct 2024

https://github.com/tranbavinhson/sequence-labeling

Sequence Labeling implemented by BiLSTM using Tensorflow

bilstm deep-learning lstm lstm-model sequence-labeling tensorflow tensorflow-tutorials

Last synced: 06 Nov 2024

https://github.com/devssh/genderethnicitydetector

Tensorflow Keras based pre-trained model to predict gender and ethnicity of Indian Names using Python

andrew-ng ethnicity-classifier fuzzy gender-classification indian lstm lstm-model pandas pre-trained tensorflow tensorflow-models text-classification username-predictor

Last synced: 07 Nov 2024

https://github.com/fork123aniket/text-generation

Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow

deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

https://github.com/seyedhosseinzadeh/ws_tm

Weather web scraping and Time series model to predict temperature, humidity and barometer

data-analysis deep-learning lstm-model machine-learning prediction prediction-model weather web-scraping

Last synced: 12 Nov 2024

https://github.com/gopikrsmscs/stock-price-prediction-lstm

Tesla Stock Price Prediction Using LSTM

lstm-model lstm-neural-networks stock-price-prediction tensorflow

Last synced: 18 Nov 2024

https://github.com/fork123aniket/multivariate-time-series-forecasting-for-air-pollution-using-lstms

Implementation of Multivariate Time Series Forecasting for Air Pollution using LSTMs in Keras

keras keras-models lstm lstm-model lstm-neural-networks tensorflow tensorflow-tutorials time-series time-series-analysis time-series-forecasting time-series-prediction

Last synced: 21 Dec 2024

https://github.com/ahmedshahriar/sentiment-analysis

Sentiment Analysis Projects

adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text

Last synced: 21 Dec 2024

https://github.com/blob42/tv-script-generation

Simpsons script generators using RNNs with Tensorflow

deep-learning-nano-degree generative-model lstm lstm-model nd101 rnn rnn-tensorflow

Last synced: 18 Dec 2024

https://github.com/sowham-3098/stock_price_trend_-_price_predcition_using_rnn

This repository contains code for predicting stock market prices using Recurrent Neural Networks (RNN). The model is trained on historical stock data and can be used to make predictions for future stock prices.

lstm-model rnn-tensorflow stock-price-prediction streamlit-dashboard

Last synced: 15 Nov 2024

https://github.com/vubacktracking/deep-neural-network-vietnamese-student-feedback-sentiment-analysis

Vietnamese Student Feedback Sentiment Analysis

deep-learning keras-tensorflow lstm-model lstm-neural-networks lstm-sentiment-analysis nlp sentiment-analysis streamlit-webapp tensforflow tfidf-vectorizer vietnamese-nlp word2vec word2vec-model

Last synced: 10 Nov 2024

https://github.com/nishant2018/bit-coin-prediction-lstm

Bitcoin is a decentralized digital currency that operates without a central authority or single administrator.

bitcoin bitcoin-api lstm lstm-model prediction

Last synced: 20 Dec 2024

https://github.com/kumar-shivam-ranjan/recognizing-human-activity-using-multiple-wearable-accelerometer-sensors

The project in this repository solved the HAR problem by deep neural network specifically long Short term memory (LSTM) of recurrent neural network .

deep deep-learning deep-neural-networks lstm-model smartphone-sensors

Last synced: 13 Nov 2024

https://github.com/sergio11/headline_generation_lstm_transformers

Explore advanced neural networks for crafting captivating headlines! Compare LSTM 🔄 and Transformer 🔀 models through interactive notebooks 📓 and easy-to-use wrapper classes 🛠️. Ideal for content creators and data enthusiasts aiming to automate and enhance headline generation ✨.

deep-learning lstm lstm-model lstm-neural-networks model-comparison model-training model-training-and-evaluation natural-language-processing text-generation text-vectorization transformers

Last synced: 14 Dec 2024

https://github.com/virajbhutada/google-stock-price-forecasting-lstm

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

data-analysis data-science data-visualization future-prediction google-dataset google-stock-price-prediction google-stocks lstm-model lstm-neural-network machine-learning machine-learning-models matplotlib model-building model-training numpy python stock-forecasting

Last synced: 11 Nov 2024

https://github.com/khaledashrafh/chatgpt-sentiment-analysis

This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").

bidirectional-lstm chat-gpt chat-gpt-3 chatgpt cnn cnn-classification cnn-model data-preprocessing glove glove-embeddings lstm lstm-model lstm-neural-networks natural-language-processing nlp openai sentiment-analysis sentiment-classification trials word-embading

Last synced: 07 Dec 2024

https://github.com/iamkankan/textclassificationlstm

In this project we will be building a text classifier using LSTM and Wor2vec

lstm-model text-classification word2vec-embeddinngs

Last synced: 08 Dec 2024

https://github.com/rhythm-shahane/trend-pulse

This repository implements LSTM for the purpose of stock prediction⬇️

altair lstm-model machine-learning prediction-model python quantitative-finance rapidminer stocks tesla

Last synced: 10 Dec 2024

https://github.com/dhruvathaide/stockmarket-analysis-prediction

This is a Project that I created in my free time. I made three different Stock Market Algorithmns, where one Algorithmn is using the Random Forect Classifier to Predict, and the other two Algorithmns are using the Long Term Short Memory Model.

lstm-model machine-learning random-forest-classifier stock-analysis stock-market stock-price-prediction yfinance

Last synced: 14 Nov 2024

https://github.com/harshalmittal4/add_emoji

The LSTM model (in keras) predicts the instinct of any input sentence and associates an emoji to it accordingly.

emoji keras lstm-model

Last synced: 19 Nov 2024

https://github.com/adalbertobrant/stocks

Study about LSTM and stock market.

finance javascript lstm-model lstm-neural-networks machine-learning pandas python stock stock-market

Last synced: 09 Nov 2024

https://github.com/cooldragon12/solana-forecasting-using-lstm

A time series forecasting analysis using LSTM for the Solana Price

deep-neural-networks lstm lstm-model machine-learning

Last synced: 10 Nov 2024

https://github.com/fyrndly/nlp-bank-customer-complaint

Create Model NLP Classification Bank Customer Complaint and Deploy to Streamlit

lstm-model nlp nlp-classification-model

Last synced: 09 Nov 2024

https://github.com/ayushtiwari134/stock_price_predictor_dl

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

deep-learning eda keras lstm-model machine-learning matplotlib numpy pandas python rnn streamlit tensorflow yfinance-library

Last synced: 06 Nov 2024

https://github.com/ritu-thombre99/server-simulation-for-monitoring-rul

Server simulation for monitoring remaining useful life of turbofan jet engines

flask flask-application lstm lstm-model lstm-neural-networks rul simulation

Last synced: 09 Nov 2024

https://github.com/pronzzz/stock_price_prediction

This repository is dedicated to exploring different machine learning models for stock price prediction. Our goal is to determine which model is the most accurate and efficient in forecasting stock market prices. We'll be using historical stock data and various machine learning techniques to build and evaluate models.

knn-classifier knn-regression linear-regression lstm-model random-forest svm-model

Last synced: 06 Nov 2024

https://github.com/lavkalsi/tableau-project-stock-market-analysis

The Tableau Project: Stock Market Analysis features a dashboard that combines Descriptive, Diagnostic, Predictive, and Prescriptive analytics to provide insights into stock market trends. Using Python for data processing and an LSTM model for forecasting, this project visualizes historical and predicted stock prices, helping make informed decision.

dashboard data-analysis deep-learning lstm-model python tableau

Last synced: 19 Nov 2024

https://github.com/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.

alpha-vantage lstm lstm-model lstm-neural-networks rnn rnn-keras rnn-lstm stock-data stock-forecast stock-price-prediction

Last synced: 10 Nov 2024

https://github.com/priyanshu7639/stock-recommendation

This project is a Stock Market Recommendation built using Streamlit. It provides functionalities for time series forecasting and technical analysis. The dashboard includes features such as: Time Series Forecasting: Utilizes Facebook's Prophet library to predict future stock prices based on historical data.

decision-tree-classifier lstm lstm-model lstm-neural-networks machine-learning ml stock stock-market stock-price-prediction stock-recommendation streamlit

Last synced: 22 Dec 2024

https://github.com/jezbravo/lstm

Stock predictions with LSTM

jupiter-notebook keras keras-neural-networks keras-tensorflow lstm lstm-model lstm-neural-networks machine-learning matplotlib numpy pandas pandas-dataframe python scikit-learn scikitlearn-machine-learning stock-price-prediction

Last synced: 07 Nov 2024

https://github.com/jessicasaikia/long-short-term-memory-lstm

This repository implements a Long Short Term Memory (LSTM) for performing Parts-of-Speech (POS) Tagging on Assamese-English code-mixed texts.

assamese assamese-text code-mixed code-mixing english english-language long-short-term-memory long-short-term-memory-models lstm lstm-model lstm-neural-networks nlp nlp-machine-learning part-of-speech-tagging parts-of-speech pos-tagger pos-tagging

Last synced: 13 Dec 2024

https://github.com/ambidextrous9/pytorch-models

Transfer Learning models in PyTorch

flickr glove glove-embeddings imdb imdb-dataset lstm lstm-model mobilenetv2 pytorch pytorch-lightning transfer-learning xception xception-model

Last synced: 12 Nov 2024

https://github.com/bdurga26/stockprice_prediction

This project aims to find the stock value uisng LSTM

lstm-model machinelearning python

Last synced: 14 Nov 2024

https://github.com/tusharpandey003/basics-of-machine-learning

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

algorithms diabetes-prediction drug drug-discovery embedding embedding-models embeddings knn-algorithm logistic-regression lstm lstm-model machine-learning naive-bayes-algorithm neural-networks parameters-hyperparameters parkinsons-detection svm tensorflow tensorflowhub wine-review

Last synced: 19 Nov 2024

https://github.com/aaaastark/hybrid-model-with-cnn-lstm-python

Hybrid Model with CNN and LSTM for VMD dataset using Python

cnn-architecture cnn-classification cnn-keras cnn-lstm-models cnn-model data-science deep-learning hybrid-model keras lstm-model lstm-neural-network machine-learning matplotlib numpy pandas python sklearn tensorflow vmd

Last synced: 15 Nov 2024

https://github.com/pravincoder/stock_bots

*Time Series Forcasting Project* :- We tested Fb prophet model , VAR (Vector Autoregression) Model , Transformer Models(Only Encoder) and LSTM's.

fbprophet lstm-model reinforcement-learning transformer vectorautoregression

Last synced: 05 Nov 2024

https://github.com/spignelon/cleverterm

CleverTerm is a prototype LSTM model trained on bash history, capable of generating suggestions for the next Linux command based on previous user input. The project is licensed under GPL v3 and uses bash history data from various sources, including Kaggle datasets and GitHub repositories.

artificial-intelligence autocomplete autosuggestions lstm lstm-model machine-learning terminal text-prediction

Last synced: 17 Nov 2024

https://github.com/riomaxgit/lstm_sensordata_anomaly-detection-model

Anomaly detection using Long Short-Term Memory (LSTM) networks involves training a model to identify patterns in sequential data and detect deviations from those patterns. LSTMs are a type of recurrent neural network (RNN) that are well-suited for modeling sequences due to their ability to capture long-term dependencies.

anomaly-detection faker lstm lstm-model pandas python rocket sensor-data

Last synced: 18 Nov 2024

https://github.com/priyanshu501/timeseries_analysis

This repository contains a comprehensive analysis of time series data (stock prices), forecasted using various statistical and deep learning models.

arima-model exploratory-data-analysis exponential-smoothing garch-model gru-model jupyter-notebook lstm-model machine-learning prophet-model python sarima-model sklearn statsmodels stock-prediction stock-price-prediction timeseries timeseries-forecasting

Last synced: 24 Nov 2024

https://github.com/anmolsonthalia/bitcoin_value_predictor

Creating a Bitcoin value predictor by correlating social media sentiment with market trends using sentiment analysis and machine learning algorithms.

bitcoin-payment bitcoin-prediction data-extraction data-preprocessing linear-regression lstm-model time-series

Last synced: 15 Nov 2024

https://github.com/saifx19/multivariate-lstm-stock-price-forecasting

This repository contains a Jupyter notebook demonstrating how to predict Big Tech stock prices using a Multivariate Long Short-Term Memory (LSTM) model with historical time series data. Developed in Python with TensorFlow/Keras, it covers the workflow from data preprocessing to model evaluation.

lstm-model python stock-price-prediction tensorflow-keras time-series yfinance

Last synced: 20 Dec 2024

https://github.com/ayushverma135/stockanalyzer-forecasting-and-visualization-of-stocks-using-python

This repository hosts a Dash web app for stock visualization and forecasting. It uses historical stock data from Yahoo Finance and an LSTM neural network for predicting future prices. Users input a stock symbol and date range, then select indicators for visualization.

dash flask lstm-model machine-learning python stock-price-prediction visualization

Last synced: 08 Nov 2024

https://github.com/burcuyesilyurt/nlp_airbnb_prediction

NLP Prediction

decision-tree logistic-regression lstm-model machine-learning natural-language-processing nlp-machine-learning random-forest text-mining

Last synced: 22 Nov 2024

https://github.com/tutsilianna/generating_text_using_rugpt3

The collaborative effort in the framework of the course on neural networks at ITMO.

gpt3 lstm lstm-model python3 pytorch

Last synced: 17 Dec 2024

https://github.com/drisskhattabi6/stock-market-analysis-and-prediction-using-lstm

This Repo Contains a Stock Market Analysis and Prediction using LSTM

lstm lstm-model pytorch stock-market stock-price-prediction time-series-analysis time-series-prediction

Last synced: 28 Nov 2024

https://github.com/michaelmartintech/nasa_project_2_wildfire_smoke_ml_deep_learning_model_prediction_2024

Designed, developed, and implemented Ensemble and Deep Learning Machine Learning Algorithms for Wildfire Smoke Prediction using NASA Big Data

big-data big-data-analysis deep-learning lstm lstm-model lstm-neural-network machine-learning machine-learning-algorithms machine-learning-models nasa projection python pytorch wildfire-prediction-model

Last synced: 02 Dec 2024

https://github.com/invcble/sentiment-analysis-of-indian-political-tweets-2023

LSTM models for Sentiment Analysis

colab-notebook glove-embeddings lstm-model machine-learning python sentiment-analysis tweet-analysis vader-sentiment-analysis

Last synced: 06 Nov 2024

https://github.com/shadiyaiffath/icu-burglar-detector

A Skeleton Based approach to determine human burglar behavioral patterns by utilizing time series sequences from data acquired from live surveillance captured from IP cameras by using Openpose and LSTM and RTSP

aws-rds-mysql firebase-cloud-messaging flask google-colaboratory gspread ip-camera lstm-model openpose python rtsp

Last synced: 07 Nov 2024

https://github.com/chigurakula-bs/bitcoin-price-prediction-using-lstm

Built a machine learning model to accurately predict the price of the bitcoin. Achieved the prediction accuracy of 90% using LSTM.

jupyter-notebook lstm-model machine-learning-algorithms

Last synced: 06 Nov 2024

https://github.com/illfil/stock-price-prediction-with-keras

This repository provides a pipeline for predicting stock prices using LSTM model.

analytics keras-tensorflow lstm-model lstm-neural-networks python stock-price-prediction

Last synced: 06 Nov 2024