Service Classification based on Service Description
deep-neural-networks service word2vec keras cnn classification deeplearning glove ltsm service-classification
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Oct 17, 2021 - Jupyter Notebook
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Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
finance machine-learning deep-learning bitcoin model-comparison xgboost-model ltsm time-series-forecasting arima-forecasting prophet-model
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Aug 3, 2021 - Jupyter Notebook
This project aims to study the Image Colorization problem and implement a Convolutional Neural Network that is able to colorize black and white images using CIELAB color space.
computer-vision tensorflow autoencoder image-colorization convolutional-neural-networks colorization cielab ltsm tensorflow2
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Feb 25, 2021 - Jupyter Notebook
Music generation using a Long Short-Term Memory (LSTM) neural network. The gennhausser project uses TensorFlow and music21 libraries to create a synthetic dataset, train an LSTM model, and generate music sequences.
python ai neural-network midi tensorflow python3 neural-networks music-generation ltsm music-generation-deep-learning ltsm-model
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Apr 14, 2025 - Python
Specialized LSTM & AI models
machine-learning jupyter bigdata artificial-intelligence energy-efficiency time-series-analysis neuronal-network datamesh ltsm
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Jun 14, 2026 - Jupyter Notebook
🚀 Unveiling Stock Market Insights with RNNs: A concise exploration of LSTM and GRU models for stock price prediction, featuring a research paper and Jupyter Notebook. 💹📈
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Nov 24, 2023 - Jupyter Notebook
A computer vision model for Indian Sign Language Recognition
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Oct 25, 2024 - Jupyter Notebook
Using Deep Learning to Categorize Music through Spectrogram Analysis
machine-learning cnn music-information-retrieval spectrogram sequence-analysis ltsm genre-classification
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Dec 26, 2017 - Python
Autonomous Market Intelligence is a full-stack crypto analytics platform that combines real-time market data, AI sentiment analysis, and ML price forecasting in one interactive dashboard.
react javascript python docker dockerfile machine-learning dashboard integration docker-compose reactjs docker-image postgresql ml pytorch arima ltsm n8n n8n-workflow n8n-nodes n8n-automation
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Mar 23, 2026 - Python
This project develops and compares multiple time series forecasting models to predict daily water levels of Lake Kariba, the world's largest artificial lake by volume, located between Zambia and Zimbabwe. Using historical data from Jan 2020 to Feb 2023 (1,155 daily observations), I evaluate five modeling approaches and optimized the best.
machine-learning time-series xgboost deeplearning arima gradio prophet ltsm time-series-forecasting sarima kariba
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Apr 21, 2026
📈 Forecast weekly and monthly book sales using advanced models like SARIMA, XGBoost, LSTM, and hybrid approaches for accurate retail insights.
machine-learning deep-learning time-series tensorflow scikit-learn keras xgboost forecasting nda statsmodels demand-forecasting sarimax ltsm auto-arima kerastuner sarima-models retail-analytics
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Jun 23, 2026 - Jupyter Notebook
Many-to-one LSTM neural network for binary sentiment classification of IMDB movie reviews. Built with TensorFlow/Keras as part of Deep Learning coursework. Includes data preprocessing, model training, evaluation, and visualization.
python nlp deep-learning sentiment-analysis text-classification keras neural-networks ibm ltsm tenorflow
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Nov 25, 2025 - Python
Machine learning pipeline for training ARIMA and LSTM models to forecast daily market prices of food products in Ethiopia. Powers the Bazarya price alert system.
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Jul 22, 2025 - Jupyter Notebook
The goal of this project is to accurately predict the future closing value of a given stock across a given period of time in the future.
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Jul 15, 2021 - Jupyter Notebook
LSTM and all other supporting modules are used to predict the next word based on the previous five words.
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Nov 23, 2021 - Python
Forecasting 21-day realised volatility on the URA uranium ETF using a stacked LSTM network, benchmarked against a GARCH(1,1) baseline.
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Apr 26, 2026 - Jupyter Notebook
Repo for the Deep Learning Specialization offered by Coursera
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Jan 1, 2018 - Jupyter Notebook
A predictive analytics system for the apparel industry that forecasts daily absenteeism using LSTM/XGBoost and classifies employee risk levels to optimize workforce planning. Built with Python and Streamlit.
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Dec 8, 2025 - Python
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Jul 10, 2017 - Python
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