ML Application · Python

NeuroTrace

An Explainable Machine Learning Framework for Alzheimer’s Disease Classification and 3D Visualization from Brain MRI

Irine Milton@irinemilton · Atlas 62.5 · #14= builder

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What it is

The NeuroTrace repository provides a full-stack application for Alzheimer's disease analysis, integrating 3D brain segmentation, feature extraction, and machine learning models for prediction and progression tracking, with a web interface for user interaction.

Scored at90a2ad56 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

Machine Learning80%
Computer Vision70%
Data Science50%
MLOps20%
NLP & LLMs10%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board

RankProjectBuilderFieldMerit

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70chatbot-pipelineML Application · PythonThis repository implements an end-to-end intent-based chatbot system using TensorFlow/Keras for model training and Flask for serving. It includes a standard NLP pipeline (tokenization, lemmatization, bag-of-words) and provides instructions for both training from scratch and…50.2/100ImplementationPop AlexandruMachine Learning
71, shared ranksocrateLibrary / Framework · Jupyter NotebookThe SocrateX library provides a modular framework for building OCR models that combine CNN feature extraction with transformer-based sequence modeling, including components for data handling, training, and inference.49.2/100Implementationvlad andreiMachine Learning
71, shared rankNeuroTraceML Application · Python49.2/100ImplementationIrine MiltonMachine Learning
73, shared rankdeep-learningEducational Implementation · Jupyter NotebookThe repository contains three educational components: a machine learning assignment for text classification using embeddings and classical models, a Jupyter notebook demonstrating an LLM-based agent playing the 2048 game, and a script for sampling and plotting normal…48.5/100ImplementationVraj PatelMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

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