Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Factored inference for discrete-continuous smoothing and mapping.

Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer https://ieeexplore.ieee.org/document/10006398

The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.

Monte Carlo simulation for financial instruments.

Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation

Source code for the paper "HyPhAICC v1.0: a hybrid physics–AI approach for probability fields advection shown through an application to cloud cover nowcasting".

A machine learning project to develop a robust Book Recommendation System using collaborative filtering and hybrid approaches. The system predicts user ratings and provides personalized book recommendations, evaluated with metrics like RMSE, Precision, Recall, and F1 Score

Data Science 2023-24

Time Series Forecasting using Linear Regression, Trend, Seasonality, Hybrid models

Machine Learning Research to Advance Simulation Science

Predictive Modeling of Neurological State with Multidimensional Time Series Data in Parkinson Disease Patients

A robust movie recommendation system using the MovieLens dataset, employing Collaborative Filtering, Matrix Factorization, and Hybrid Models to enhance recommendation accuracy and diversity.

In my code portfolio, I generally try new techniques and methods in machine learning. I don't like only copying and pasting.

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