Text-to-image generation project using Diffusion models and Conditional GAN (CGAN). Implemented models from scratch and compared results with Stable Diffusion. Demonstrates learning process, model limitations, and high-quality image generation using pretrained models.
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ramyadharshinimurugaprakash-commits/Titanic-Survival-Prediction-Random-Forest: A machine learning project that predicts passenger survival on the Titanic using the Random Forest Classifier. The project includes data preprocessing, label encoding, feature scaling, model training, prediction, and performance evaluation using Python and Scikit-learn.
A machine learning project that predicts passenger survival on the Titanic using the Random Forest Classifier. The project includes data preprocessing, label encoding, feature scal...
Yang-bioinfor/diffusion_anomaly: Reproduction of Diffusion Models for Medical Anomaly Detection
Reproduction of Diffusion Models for Medical Anomaly Detection