🎲 Create dynamic interactive stories with AI, offering unique plots, characters, and visual story maps based on player choices for an immersive experience.

📚 Explore a curated collection of research on Label-Free Reinforcement Learning with Verifiable Rewards for enhancing Large Language Models.

[AAAI, 2025] Official implementation of "CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis".

Programming for Career helps you code through project-based learning; build portfolio projects to advance your career with practical, job-ready skills that matter🐙

ML-STIM: Machine Learning for SubThalamic nucleus Intraoperative Mapping

Kilo is a lightweight text editor with under 1,000 lines of code, designed for simplicity and efficiency. Built without external libraries, it offers essential features for editing files directly from the command line. 🖥️✨

🧠 A deep learning-based web app that classifies Alzheimer's disease stages from MRI images using ResNet50, VGG19, and InceptionV3. Built with Streamlit.

Arbor adaptor for SONATA

A Python-based module for creating flexible and robust spike sorting pipelines.

An analysis toolkit for the estimation of neuroimaging observables

Aggregation of RSS feeds from various neuroscience journals

In this repository you find a python program and the prints and 3D-visualization of it. After the KNN-Classification I wanted to know which variables have the most relevance for the results. One approach for this is the Principal-Component-Analysis (PCA). More details in the python program as comments.

© Agdistys • Diane Serant – Ce travail est sous licence Creative Commons Attribution - ShareAlike 4.0 International (CC BY-SA 4.0). https://creativecommons.org/licenses/by-sa/4.0/

🧠 Detect neurodegenerative patterns early using advanced machine learning with ADNI data for improved insights and outcomes.

🧠 Capture context seamlessly across devices and projects, enabling AI to maintain continuity in your digital brain system.

🧠 Detect neurodegenerative patterns early using advanced machine learning models with ADNI data for impactful health insights.

🧠 Detect MCI from EEG/ERP data using standardized datasets, feature pipelines, and robust validation metrics for reproducible research.

Multi-probe trajectory planning in an intuitive 3D environment

Textbook for NESC 3505, Neural Data Science, at Dalhousie University

An interactive one-page website that provides a compendium on neurotransmitters (dopamine, norepinephrine, serotonin, and melatonin) and their role in psychophysiology. The page analyzes symptoms of deficiency/excess, core functions, interactions, and systemic connections to disorders such as depression, ADHD, and PTSD.