pattern-recognition-and-machine-learning

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kbhujbal / Artificial-Nose-ML-model-for-categorization-identification-of-spices

ML based Artificial Nose for spice identification using an array of 8 MOS gas sensors (MQ135, TGS series) with a PIC microcontroller. Implements Random Forest (100% accuracy) vs MLP comparison on 8135 sensor readings. IEEE conference paper, 2023.

iot machine-learning python3 machine-learning-models random-forest-classifier mlp-classifier scikit-learn-python electronic-nose gas-sensors pattern-recognition-and-machine-learning artificial-nose spice-identification

Updated Apr 19, 2026
Python

harshgupta1810 / ChartVantage

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chartVantage is a Python-based project designed to identify and analyze chart patterns in financial time series data. This tool enables traders and analysts to recognize key patterns in stock price movements, aiding in market predictions and decision-making.

stock-market pattern-recognition technical-analysis stock-market-prediction head-and-shoulders chart-patterns trading-tools pattern-recognition-and-machine-learning bearish-flag machine-learning-stock-data bullish-flag

Updated Dec 8, 2024
Jupyter Notebook

mwasifanwar / neurofabric-ai

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Computer vision system that analyzes fabric patterns, detects defects in real-time manufacturing, and generates new textile designs using generative adversarial networks.

quality-control computer-vision pattern-recognition computer-vision-algorithms computer-vision-tools industrial-ai smart-manufacturing computer-vision-opencv quality-controls-false generative-ai pattern-recognition-and-machine-learning generative-ai-tools generative-ai-model pattern-recognition-spatio-temporal-activity-patte generative-ai-agents textile-industry

Updated Nov 7, 2025
Python

6sy666 / Code-and-Note-for-PRML

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Notes I took while studying Pattern Recognition and Machine Learning

prml pattern-recognition-and-machine-learning

Updated Dec 19, 2022
Jupyter Notebook

mwasifanwar / TerraCognita

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Satellite imagery analysis combined with geological and archaeological data to identify potential undiscovered ancient civilization sites using multi-modal fusion.