brunojerkovic/Meta-Heuristic-Optimization-Algorithms

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Created over 3 years ago
Updated over 3 years ago

brunojerkovic/Meta-Heuristic-Optimization-Algorithms

brunojerkovic

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Naturally-inspired optimization algorithms implemented in Python.

Deep-Pocket-for-Portfolio-Management

Implementation of the research paper for portfolio optimization (using graph neural networks and deep reinforcement learning) in Pytorch.

Design-Patterns

Basic implementation of 23 design patterns. (Useful for lookup for future reference)

GeneticAlgorithm

Genetic algorithm with local search

MasterThesis-1

In my Computer Science Master's Thesis, I experimented with advanced deep learning models and introduced a new model, cNSVM, to refine the estimation of connectivity in financial time series data, facilitating enhanced market understanding for improved data-driven decision making in finance.

Jupyter Notebook

GenAIApplications

Mini LLM apps! Using concepts such as: langchain, LLM APIs (openai, gemini, palm), streamlit, huggingface, etc. Including prompting techniques such as chain-of-thought, ReAct, tree-of-thought, etc. Additionally, some LLMs are integrated with graph databases, Python functions and fine-tuning them.

Jupyter Notebook