GitHub topics: lstm-model | Ecosyste.ms: Repos

GwRzky/Stock-Predictor

An AI powered stock predictor to combat financial illiteracy

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Maksim09000/real-time-stock-predictor

Real-Time Stock Predictor offers a streamlined way to analyze stock market trends using live data. 📈 With powerful features and efficient algorithms, it empowers users to make informed trading decisions. 🐱💻

Language: Python - Size: 9.77 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

GGasset/CudaNeatNetwork

Easy to use, Neural Network framework made from scratch in CUDA/C++, featuring LSTMs, able to train using Supervised learning and Evolution methods

Language: Cuda - Size: 818 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

deep-div/Deep-Learning

A collection of simple and practical examples of ANN, CNN, and RNN models using PyTorch. Perfect for learning core deep learning architectures through code.

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FabianCormier/Cross-Domain-transfer-learning-from-Human-Motion-to-Robot-Fault-Detection

The code trains an LSTM-based residual model on human motion data and applies transfer learning to detect robotic joint faults. It preprocesses data, maps robot features to human-like patterns, and fine-tunes a model while freezing early layers. The optimized model is evaluated with class weighting, callbacks, and feature importance analysis.

Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

cicm4/Smart_Glass

Development of simple smart glasses

Language: Python - Size: 104 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

tenebrissilvam/CRISPR-off-t-engine

ML-based solution to CRSPR-Cas9 off-target prediction

Language: Python - Size: 1.34 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

built-by-ann/land-trust-project

A geospatial deep learning project that predicts future land conversion in Tennessee using historical satellite data and a ConvLSTM model. Developed in collaboration with the Land Trust of Tennessee to support conservation planning by identifying areas at risk of urban development.

Size: 3.49 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

bindu2607/Sentiment-Analysis-Project-Using-Bert-Lstm

End-to-end sentiment analysis of airline tweets using BERT and BiLSTM, with a Streamlit web app and 98%+ accuracy.

Language: Python - Size: 1.99 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

SohomM/TimeSeries-Forecasting

Language: Jupyter Notebook - Size: 271 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

kocharvishal/Spectral-Analysis-and-Mycotoxin-Prediction-in-Corn-Samples

Hyperspectral Corn Data Analysis & Mycotoxin Prediction

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GitGinocchio/WeatherPredictionWithGithubActions

The combination of an Artificial Intelligence and GitHub Actions to obtain weather data, analyze it and make weather forecasts

Language: Python - Size: 64.3 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 2 - Forks: 1

khanhtran0111/Rain-prediction

Rain prediction using machine learning and deep learning

Language: Jupyter Notebook - Size: 117 MB - Last synced at: 8 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

jinglescode/time-series-forecasting-pytorch

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

Language: Jupyter Notebook - Size: 5.06 MB - Last synced at: 21 days ago - Pushed at: about 1 year ago - Stars: 284 - Forks: 102

HaseebUlHassan437/deep_rnns_and_difference-in_parameters

Exploring deep RNN architectures and parameter differences using TensorFlow/Keras — comparing stacked vs wider models for sequential data.

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JordiCorbilla/stock-prediction-deep-neural-learning

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

Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: 25 days ago - Pushed at: about 2 months ago - Stars: 595 - Forks: 126

dalinvip/cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN、BiLSTM

Language: Python - Size: 24.6 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 1,365 - Forks: 347

analyzethis1/PropertyPulse

This repository contains ML models designed for time series analysis to monitor the degradation of real estate assets. The models are paired with RL agents that predict when each asset will require maintenance or repairs, helping to optimize maintenance scheduling and reduce unexpected downtime.

Language: Python - Size: 705 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

Vruddhi18/LSTM_Next-word-predictor

The LSTM Next-Word Predictor uses deep learning with LSTM networks to accurately predict the next word based on user input.

Language: Jupyter Notebook - Size: 445 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 3 - Forks: 0

Vd1299/NVIDIA_Stock_Prices_Bidirectional_LSTM_network_Analysis

Dual Bidirectional LSTM approach for time series analysis, featuring both regression (next 10 minutes prediction) and classification (direction forecasting) models. Built with TensorFlow/Keras, this implementation provides precise numerical forecasts and actionable directional insights from the Nvidia stock dataset.

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SEIDY-KANTE/ai-powered-resume-scanning-system

An advanced, intelligent, and fully interactive job application screening system that leverages AI models (Custom LSTM and Gemini Pro), NLP techniques, and dynamic visualizations to assist HR teams and job seekers with smart matching and actionable insights.

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Shanmukhi1920/Text-Classification

Developed an NLP system using Gradio and Hugging Face to classify disaster tweets with both machine learning (ML) and deep learning (DL) models.

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ArshTiwari2004/Sahyog

Centralized Disaster Response and Inventory Management System that leverages AI and Google Cloud Technologies to predict disasters, optimize resource management, and provide real-time coordination.

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sebastian-davidson/Japanese-to-Hiragana

Using just machine learning, can we convert the kanji in Japanese sentences to hiragana?

Language: Python - Size: 20.7 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

JHansiduYapa/CNN-LSTM-Image-Caption-Generator

This repository implements an image caption generator using a pretrained ResNet101 for feature extraction and an LSTM network for generating captions from images.

Language: Jupyter Notebook - Size: 9.89 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Desloo/Stock_Analyzer

Stock Analysis PC is a desktop application built with Python and Tkinter for stock prediction.

Language: Python - Size: 4.28 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

DishnaKawindi/Stock_Price_Prediction_and_Text_Analysis

Stock price prediction and news sentiment analysis project for CSIS 4260 – Special Topics in Data Analytics (Winter 2025). Built by a team of 2. Includes automated data pipeline, ML models, web scraping, and an interactive Dash dashboard.

Language: Python - Size: 7.1 MB - Last synced at: 16 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

sleetymattgeorge/Deep-Learning-Evaluation-of-IDS-Datasets

Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.

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peggia/music-generation

Ce projet implémente un générateur de musique basé sur un Variational Autoencoder (VAE)

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MorganFxrmer/COMP3932_Synoptic_Project

COMP3932 Synoptic Project Dissertation Project

Language: Python - Size: 499 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

phancykemunto/sentiment-analysis-app

A deep learning project analyzing user sentiments in mobile banking reviews using BiLSTM, LSTM, and RNN models with FastText, Word2Vec, and GloVe embeddings.

Language: Python - Size: 7.65 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

KasrAskari/Spam-Classification

Classifies SMS messages as spam or non-spam using machine learning

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kbunwong/Stock-Price-Prediction-Using-LSTM

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

Language: Jupyter Notebook - Size: 756 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Only1JohnN/chaotic_systems_lstm

Learn and model chaotic systems using Long Short-Term Memory (LSTM) networks, with a focus on the Lorenz system

Language: Python - Size: 2.25 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

echowei/DeepTraffic

Deep Learning models for network traffic classification

Language: Python - Size: 911 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 720 - Forks: 296

ritesh-gharat/sleep-apnea

Sleep Apnea Analysis

Language: Python - Size: 120 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sergio11/spam_email_classifier_lstm

This project uses a Bi-directional LSTM model 📧🤖 to classify emails as spam or legitimate, utilizing NLP techniques like tokenization, padding, and stopword removal. It aims to create an effective email classifier 💻📊 while addressing overfitting with strategies like early stopping 🚫.

Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 0

yutarochan/Bi-LSTM-CRF

Bidirectional Long Short Term Memory Architecture

Language: Python - Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: over 8 years ago - Stars: 4 - Forks: 1

ajwdd/StockEval

📈 Suite of a stock price forecaster and a sentiment analysis program built to provide in-depth visualizations, high accuracy, and low resource usage.

Language: Python - Size: 85.9 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 2

surfertas/deep_learning

Topics related to Deep Learning

Language: Jupyter Notebook - Size: 220 MB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 8

Aashi2608/Deep-Learning

Deep learning projects applying AI models like LSTM, Random Forest, and ARIMA for tasks like electricity demand forecasting and predictive analytics.

Language: Jupyter Notebook - Size: 296 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

krithicswaroopan/Lithium-ion_battery_SOH_Prediction

The project analyzes battery cycling data to predict degradation patterns and performance metrics using both deep learning (LSTM) and traditional machine learning (XGBoost) approaches. The implementation enables accurate estimation of battery health, which is crucial for battery management systems in various applications.

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raj2585/Times-Series-Forecasting

Time Series Forecasting done using two models - ARIMA and LSTM

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Sanjanaharishpoojary/electricity-demand-forecasting-ml

Predicting electricity demand using LSTM and Random Forest models. A Comparative study with load & weather data

Language: Python - Size: 2.26 MB - Last synced at: 12 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

afaq-ahmed07/Roman_Urdu_Poetry

An LSTM-based model trained to generate Roman Urdu poetry. The model is built using PyTorch and deployed as a Streamlit web app, where users can input a seed text, and the AI generates poetic lines.

Language: Python - Size: 96.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Moving-AI/virtual-walk

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

Language: Python - Size: 57.8 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 172 - Forks: 38

abhinabasaha/TimeSeriesAnalysisTSA

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Solrikk/Cripto-Boats

CryptoBoat is an advanced cryptocurrency trading bot powered by artificial intelligence. It combines LSTM neural networks and Random Forest algorithms to make intelligent trading decisions in the cryptocurrency futures market.

Language: Python - Size: 3.58 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 17 - Forks: 8

Subhash-777/Cross-Domain-transfer-learning-from-Human-Motion-to-Robot-Fault-Detection

The code trains an LSTM-based residual model on human motion data and applies transfer learning to detect robotic joint faults. It preprocesses data, maps robot features to human-like patterns, and fine-tunes a model while freezing early layers. The optimized model is evaluated with class weighting, callbacks, and feature importance analysis.

Language: Jupyter Notebook - Size: 3.47 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

shahgem/CIND-820

Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting

Language: Jupyter Notebook - Size: 59.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

ShivaNeuralNet/Google-Stock-Price-Prediction-Using-LSTM

Deep learning project for forecasting Google stock prices using LSTM. Includes EDA, SMA insights, LSTM tuning, and model performance comparison.

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josejuansanchez/modelo-lstm-tensorflow

Ejemplo de un modelo LSTM en TensorFlow/Keras.

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hiyaamalik/Self-Healing-AI-for-Network-Security

This is an artificial intelligence (ML and DL) project for network security which works by detecting threats and uses attack classification and then implements self-healing mechanisms

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

yuchenlin/lstm_sentence_classifier

LSTM-based Models for Sentence Classification in PyTorch

Language: Python - Size: 103 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 76 - Forks: 31

philipperemy/tensorflow-phased-lstm

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

Language: Python - Size: 1.02 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 128 - Forks: 24

034adarsh/Stock-Price-Prediction-Using-LSTM

This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 54 - Forks: 19

mr-ravin/cerebral-rnn-experimental-results 📦

This repository contains experimental results and the comparitive study and implementation of Cerebral LSTM.

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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.

Language: Python - Size: 19.4 MB - Last synced at: 7 days ago - Pushed at: over 5 years ago - Stars: 77 - Forks: 18

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 ✨.

Language: Jupyter Notebook - Size: 6.37 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 20.7 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 29 - Forks: 10

ashkanans/TextSense-NLP

Sentence classification model using LSTM for NLP tasks, built as part of the NLP 2024 coursework

Language: Python - Size: 690 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kishon45229/RedBricks

RedBricks is a FastAPI web app for tweet sentiment analysis using a pre-trained LSTM model. It provides an API for sentiment prediction and is deployed on Koyeb with an automated CI/CD pipeline via GitHub Actions. For deployment details, refer to the linked Medium article.

Language: Python - Size: 8.03 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

nykolai-d/LSTM_Brown_LOB

This project trains a Long Short Term Memory (LSTM) network to detect and classify a text written in English according to a particular variant: whether it is British or American.

Language: Jupyter Notebook - Size: 9.59 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mayankmittal29/NeuroPredictive_Advanced-Neural-Language-Models

Powerful neural architectures for next word prediction using FFNN, RNN, and LSTM models

Language: Jupyter Notebook - Size: 304 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SyedHasnat/paper-code

This repo includes the code for paper "Hybrid long short-term memory and bidirectional multichannel network cascaded with split convolution for short term load forecasting".

Language: Jupyter Notebook - Size: 6.05 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

a4archit/gidhelp

This is a LSTM based model, help to write Github profile description, by prediction next word.

Language: Python - Size: 2.91 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

fatin-farhan/DNN-for-NILM

In this project, we've tried applying various DNNs to the problem of non-intrusive load monitoring (NILM) and compared their results for various appliances using the REDD dataset. We took a sliding window approach in hopes that we'll be able to achieve real time disaggregation with further tuning and testing. We compare the disaggregated energy consumption results based on MSE, MAE, Relative Error and F1 Score.

Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

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").

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 1

RashadTanjim/Real-Time-Conversational-AI-Bot

A real-time conversational AI bot designed to understand and respond in Bengali, powered by advanced NLP and machine learning models. Ideal for applications like customer support and education.

Language: Jupyter Notebook - Size: 22 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

burcuyesilyurt/NLP_AirBnb_Prediction

NLP Prediction

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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.

Language: Jupyter Notebook - Size: 6.31 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

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)

Language: Jupyter Notebook - Size: 69.8 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 86 - Forks: 32

SagharShafaati/Air-quality

Language: Jupyter Notebook - Size: 143 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

BurakAhmet/Autonomous-Stock-Trading-Using-LSTM-Models

Autonomous stock trading application using deep neural networks

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

ethicalabs-ai/FlowerTune-xLSTM-7b-NLP

FlowerTune LLM on NLP Dataset

Language: Python - Size: 278 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

IAmFarrokhnejad/Stock-Forecasting-RNN

LSTM vs GRU

Language: Python - Size: 127 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cooldragon12/solana-forecasting-using-lstm

A time series forecasting analysis using LSTM for the Solana Price

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

dalinvip/pytorch_Highway_Networks

Highway Networks implement in pytorch

Language: Python - Size: 581 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 71 - Forks: 18

zamaex96/Hybrid-CNN-LSTM-with-Spatial-Attention

This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model combines convolutional neural networks (CNNs) for feature extraction, long short-term memory (LSTM) networks for sequential modeling, and attention mechanisms to focus on important parts of the sequence.

Language: Python - Size: 874 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 13 - Forks: 2

sushant1827/LSTM_for_Household_Power_Consumption

This project explores the application of Long Short-Term Memory (LSTM) networks in predicting household power consumption. Using data collected at one-minute intervals, we demonstrate how LSTM can be leveraged for accurate forecasting.

Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

sotirismos/emotion-recognition-conversations

Diploma thesis analyzing emotion recognition in conversations exploiting physiological signals (ECG, HRV, GSR, TEMP) and an Attention-based LSTM network

Language: Python - Size: 8.13 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 23 - Forks: 4

Rhythm-shahane/Trend-Pulse

This repository implements LSTM for the purpose of stock prediction⬇️

Language: Python - Size: 179 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 3

SriNeogi/Time-Series-Modelling-Deep-Learning-Python

TIME SERIES Forecasting with LSTM, GRU & Temporal CNN

Language: Jupyter Notebook - Size: 233 KB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

leovidith/ECG-Heartbeat-Categorization

Language: Jupyter Notebook - Size: 264 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

S18-Niloy/MAANG_HISTORICAL_STOCK_MARKET

Early-stopping to stop overfitting in the stock market analysis

Language: Jupyter Notebook - Size: 963 KB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

zamaex96/ML-LSTM-CNN-RNN-MLP

Fundamental files to train and evaluate a simple LSTM, MLP, CNN, and RNN model which can be trained on a time-series dataset composed of n input features and m outputs classes.

Language: Python - Size: 743 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

saifx19/multivariate-lstm-stock-price-forecasting

Multivariate LSTM for stock price forecasting of Big Tech companies using time series data.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

saahen-sriyan-mishra/Machine-Learning-Python

This Repo. contains all my Python based Machine Learning projects using numerous algorithms for the purpose of Classification, Clustering, Recommendation, Prediction and Anomaly Detection.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

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.

Language: Python - Size: 959 KB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

vivek081202/GreenShift-Carbon_Footprint_Tracker

The Green Shift project aims to empower users to track their personal carbon footprints and visualize their impact on the environment. By leveraging machine learning, Green Shift provides personalized insights, future carbon footprint predictions, and recommendations to help users adopt eco-friendly habits while showcasing global climate trends.

Language: Python - Size: 951 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0