Gradient
Science Club
We are a team of passionate students who are dedicated to exploring the exciting field of machine learning. Our group provides a platform for learning and growth in this rapidly advancing field.
Learning
Opportunities
Access to experienced students and faculty for studying machine learning.
Collaborative
Environment
Supportive and collaborative community that encourages learning from each other.
Hands-on
Experience
Practical experience in machine learning projects that contribute to real-world applications.
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OUR PROJECTS
Neuro-Gradient
Neuro-Gradient is a newly emerging initiative that bridges computational neuroscience, cognitive science, and deep learning. The section will focus on modeling processes such as reasoning, memory, and forgetting using mathematics and code. Planned activities include hackathon participation, workshops (e.g., EEG signal analysis), and collaborations with other student research groups. While the section is still in its early stage, it aims to grow into a hub for neuro-AI research within the club.
Gradient Chatbot
The aim of this project is to develop an intelligent Discord chatbot for the Gradient Science Club server that streamlines communication and club management. The chatbot will support both members and the board by providing: - Information about upcoming and past events. - A database of news, projects, and club structure. - Ready-to-use administrative and management commands. - Integration with external tools through API support. The project also includes a custom framework for evaluating the chatbot, focusing on: - Manual quality metrics for responses. - Retrieval-Augmented Generation (RAG) tests, specifically assessing the correctness of context-based answers. Why You Should Join: By participating, you will gain hands-on experience with modern chatbot technologies, work with APIs and RAG systems, collaborate in a multidisciplinary team, and contribute to a tool that directly supports the life of the club.
RL Section (Reinforcement Learning)
This section focuses on projects that use reinforcement learning. The current project aims to develop an agent that learns to play a simple computer game and then learns to play it “in its imagination.”
Flies
The project focuses on classifying the features and species of fruit flies from images. It is carried out in collaboration with the Genetics Club at the University of Gdańsk.
OCR-PCK
A project focused on extracting text data from images of identity documents using Optical Character Recognition (OCR). The work included image preprocessing (enhancement, denoising) and deep learning-based OCR models to improve recognition accuracy. The project has now been completed and provided valuable experience in building document analysis pipelines.
Style Transfer with Stable Diffusion
This project demonstrates the use of AI to transform images into different artistic styles using Stable Diffusion and custom-trained style models. Leveraging techniques from Dream Styler, the project allows users to apply a wide variety of visual styles to their images while preserving content features, effectively blending creativity and AI. Key Highlights: - Custom style models trained on multiple images for diverse artistic effects. - Transfers style onto new images while maintaining the original content. - Supports generating style grids for previewing multiple transformations at once. - Explores advanced AI techniques in text-to-image generation and style transfer. - Demonstrates practical applications of neural networks in digital art and creative AI.
Our Team
Board Members
Filip Pawlicki
President
Paweł Blicharz
Main Projects Director, ex President
Main Projects Director and former President of the Gradient Science Club, responsible for coordinating key initiatives and supporting the development of projects in classical ML and Deep Learning.
Dominika Rogowska
Finance & PR Director, Treasurer
Miłosz Grunwald
Main Workshops Coordinator
Julia Augustyniak
Human Resources Director
Jerzy Szyjut
Infrastructure Director
Coordinators
Zuzanna Warchoł
Founder and Coordinator of the Neuro-Gradient section
Founder and coordinator of the Neuro-Gradient section, responsible for carrying out scientific projects at the intersection of neuroscience and artificial intelligence. The section develops in areas such as cognitive science, neuroscience, artificial intelligence, and mathematics.
Antoni Kwiatek
Gradient Chatbot project Coordinator
Jakub Wilk
RL Section Coordinator
Hubert Malinowski
Flies project Coordinator
Members
Sebastian Dawidowski
Szymon Soborowski
Our Partnerships
Organizations we collaborate with to advance scientific research and education
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