TIPE MPSI/MP* 2018-2020
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Updated
Jan 29, 2020 - Python
TIPE MPSI/MP* 2018-2020
Fine tuned classifier of COVID/NO COVID x-ray images, project for Vision and Perception course 2020
YOLO is a real-time object detection system, it processes images at 30 FPS and has a mAP of 57.9% on COCO test-dev.
Detection is truncation: studying source populations with truncated marginal neural ratio estimation. Code repository associated with https://arxiv.org/abs/2211.04291.
Project in python for college on 6th semester
Video captures a cross-section of our society. And major advances in analyzing and understanding video have the potential to touch all aspects of life from learning and communication to entertainment and play.
detection network based on convolutional neural network
Vatic for detectNet annotation
API for transforming general detection to customized detection in Pytorch.
Detect Server via UDP Broadcasting
Neural Network that learns to identify cats and dogs from normal images.
GSN Politechnika Warszawska Praca Dyplomowa
Memoria del Trabajo Fin de Grado (TFG) "Deep Learning para clasificación y detección de personas", en la que se explican los pasos seguidos para la elaboración de una Red Neuronal Convolucional para Clasificación de personas y otra para Detección. Realizado con la ayuda de la librería TensorFlow en el lenguaje de programación Python
A simple react component that detect online and offline changes
Execution code examples for Mut1ny's deep neural network models (https://store.mut1ny.com)
"This repository focuses on implementing data link layer error detection codes. Providarious error detection techniques used in data communices methods for vations at the data link layer."
Integrated Learning Framework for Pedestrian Tracking
Overrepresentation analysis for KEGG and PID pathways using community detection
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