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1. Explainablity-of-Multimodal-Models Explainablity-of-Multimodal-Models Public

   This repository explores enhancing multimodal model explainability in pet adoption predictions, focusing on text, tabular, and image data integration. It features the 'Joint Masker' method, address…

   Jupyter Notebook

2. Financial-Trends-Forecasting Financial-Trends-Forecasting Public

   Used generative AI models, including LSTM, GRU, and GAN, to forecast three-day stock prices based on rolling 30-day data. Integrated stock data with real-time news and tweets specific to the stock,…

   Jupyter Notebook

3. GraphRecommenderSystems GraphRecommenderSystems Public

   Forked from akchekur/GraphRecommenderSystems

   Comparison of Matrix Factorization (numerical linear algebra) approach and IGMC (SOTA).

   Jupyter Notebook

4. Hybrid-Anime-Recommendation-System Hybrid-Anime-Recommendation-System Public

   This repository contains a hybrid recommendation model (Content Based and Collabarative Based) for suggesting related animes to users that they might be more interested in.

5. ML_Deployment ML_Deployment Public

   Deployed a Flask based application on AWS using Docker. The application runs a machine learning model to predict the students score.

   Jupyter Notebook

6. Semantic-Segmentation-for-Self-Driving-Cars Semantic-Segmentation-for-Self-Driving-Cars Public

   Comparitive analysis of Semantic Segmentation models (UNet, DeepLab V3, and DeepLav V3 VIsionTransformer) for their application in self-driving cars.

   Python