Avalanche DEXs analysis: segment traders and liquidity providers; study retention and growth with dashboards and stories; Flipside data, Python scripts 🐙
a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
Моя учёба в скиллфэктори
This repository contains code developed during the PHRT thyroid project for the segmentation and classification of thyroid tumors using high-resolution micro-CT imaging. It includes a user friendly pipeline for running inference on the thyroid tumors based on micro-CT images.
Segmentación de artistas musicales mediante grafos bipartitos para estratificación y muestreo estadístico. Presentación académica desarrollada para el LII Coloquio Argentino de Estadística.
This project segments Starbucks customers using transaction and offer data. Through preprocessing, feature engineering, and clustering (K-Means), it identifies distinct customer groups, providing insights to personalize marketing, improve engagement, and boost customer retention.
This dashboard presents a comprehensive behavioral analysis of DEX Traders and Liquidity Providers in the Avalanche ecosystem. Using Flipside’s Intelligence Driven Growth (IDG) methodology, it explores user journeys, engagement, platform usage, and liquidity contributions across major Avalanche DEXs from May 2024 to April 2025.
Multilingual alignment and collation of the De Regimine Principum in latin and vernacular
Projeto pessoal de infraestrutura DevOps, com foco em redes, automação e virtualização para simular ambientes corporativos reais.
Use pre-trained PSPNet Segmentation Model to generate a mask image consisting of sky pixels marked in white color in the image and other pixels marked in black color
Customer segmentation
🔥 🔥 🔥 Simple, open, pure HTML image annotation tool for bounding boxes and points (detection / segmentation). Try it now! 🔥 🔥 🔥
Segment fashion images and label pixels using convolutional neural networks and superpixels
Semi-supervised Teeth Segmentation Challenge
Implemented a model to detect brain tumors using advanced machine learning techniques. This project showcases the power of AI in transforming healthcare. 🧠🔬
IrisSegment.io is a web-based platform designed for processing images of the human eye's iris and obtain the masks for the iris region.
This is a system that was used for the detection and segmentation of uterine fibroids using ultrasound images as the input
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
The system is designed to segment crops from the background in images collected by Unmanned Aerial Vehicles.
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