Cuvis.AI is an open-source, extensible framework for building modular AI pipelines that process, analyze, and deploy hyperspectral video data in real-time applications.
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Updated
Sep 19, 2026 - Jupyter Notebook
Cuvis.AI is an open-source, extensible framework for building modular AI pipelines that process, analyze, and deploy hyperspectral video data in real-time applications.
Flipper: Reproducing the FLIP protein benchmark results.
Modelos criados para aplicação de Ciência de Dados
We propose a novel attribute graph clustering method based on weight-paired multi-scale graph coarsening and Laplacian regularization contrastive learning, termed MPCCL.
A deep learning model is trained for classifying images from American Sign language
This is my dedicated space for training and learning. I will document all of my mini personal projects here to continually enhance my skills. This platform serves as a hub for various data analysis endeavours.
A machine learning project for predicting telecom customer churn using the Telco Customer Churn dataset.
The code for paper Minimizing f-Divergences by Interpolating Velocity Fields
AI-powered Resume Analyzer using Python, Streamlit, Gemini AI, NLP, ATS Score, Resume Optimization, Interview Preparation and Career Guidance.
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (C) proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Persistent Episodic Memory for Large Language Models using Temporal Knowledge Graphs. Enabling coherent long-term conversations through novel memory architectures.
A showcase of projects integrating advanced AI solutions with robust cybersecurity practices, featuring applications in NLP, blockchain, and secure system design.
⏰ Conference deadlines on Machine Learning and Ultrasound (and other ones I fancy)
ЭМИИА | EMIIA | МАШИННОЕ РАДИОЗРЕНИЕ | MACHINE RADIO VISION | КОГНИТИВНАЯ РАДИООПТИКА | СОПТШЕШМУ RADIO OPTICS
ventas estacionales
Engineering write-up for PuckAI - a solo-built hockey analytics platform: 14 stage ETL, XGBoost prospect projection, hybrid retrieval at 0.682 NDCG@10. Docs only, no product code.
A data analytics and machine learning project created to help improve Man United's team performance by predicting player's valuation and identifying poor performing players
End-to-end Credit Card Fraud Detection ML project with LightGBM and Flask web app.
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