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davidomanovic/README.md

Hello World!👋

I am David from NTNU😄 4th year M.Sc. Applied Physics student interested in Machine Learning and Applied Physics ⚛️🤖
I invite you to take a look at some of my favorite open-source projects below. Feel free to collaborate or learn⚡🐍

Open Source Projects

Project Description Language & Tools
⚛️ Particle Simulator Simulate and animate particle motion in C using OpenGL C OpenGL
🤖 ML Toolbox General tools for Machine Learning PY sklearn TF Jupyter Notebook
📊 MCMC Solid State Markov Chain Monte Carlo Simulations for Solid State Systems C++ PY
✉️ Gen AI - Anti Spam Generative learning (Gen AI) to detect spam emails Java
📖 NLP Grammar Checker NLP using the LSTM model to proof read grammar PY PyTorch

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  1. computational-physics-projects computational-physics-projects Public

    A collection of different simulations in fields of physics like Statistical Physics, Quantum Mechanics and Fluid Dynamics.

    Jupyter Notebook 5

  2. particle-simulator particle-simulator Public

    This project implements Verlet integration to simulate particle physics in C, with GLFW for real-time visualization. It demonstrates a simple yet efficient way to model particle movement, particula…

    C 2 1

  3. mcmc-solid-state mcmc-solid-state Public

    Develop a Monte Carlo simulation framework to study phase transitions in a solid-state physics system, such as the Ising model or lattice gas model. This project combines statistical physics with c…

    C++

  4. spam-detector spam-detector Public

    Who likes spam? NO ONE! This project implements a machine learning-based Spam Detection system in Java. The application classifies emails as either spam or ham (non-spam) using supervised learning …

    Java 1

  5. bert-qa-model bert-qa-model Public

    This project demonstrates fine-tuning a BERT model for language modeling using TensorFlow. The specific purpose is for question-answering.

    Python 2

  6. machine-learning-tools machine-learning-tools Public

    Using statistics, we can implement tools for machine learning. This library contains many imperative methods that are used for LLM, Deep Learning, Neural Networks, etc...

    Jupyter Notebook 2