ayushi-here/Trash_Classification_CNN

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alfa-echo-niner-ait/sdust-pilotcup-2025

Developed for the SDUST Pioneer Intelligent Computing 2025 competition by Team NEXUS

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ishita48/Machine-Learning_Model_Predicting_California_Housing_Prices

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

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jElhamm/Article-Deep-Learning-for-the-Gaussian-Wiretap-Channel

Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel by Rick Fritschek, Rafael F. Schaefer, Gerhard Wunder"

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Dounia18/EGB

Full-Reference Image Quality Assessment models based on ensemble of gradient boosting

Language: Python - Size: 35.1 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 9 - Forks: 1

amit-timalsina/Convolutional-Neural-Networks-in-Tensorflow

This is the assignment works of Convolutional Neural Networks using TensorFlow.

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kingjosephm/AirForceDevEduPrediction

Tensorflow Keras deep learning model to predict Air Force board scores

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