Víctor Chaparro Parra (vchaparro)

vchaparro

Geek Repo

Location:Madrid, Spain

Home Page:https://www.linkedin.com/in/vchaparro-parra/

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Víctor Chaparro Parra's repositories

wind-power-forecasting

Wind Power Forecasting using Machine Learning techniques.

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awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

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building-footprint-segmentation

Building footprint segmentation from satellite and aerial imagery

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course22

The fast.ai course notebooks

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fastbook

The fastai book, published as Jupyter Notebooks

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Computer_Vision_Project

A collection of computer vision image and video use case implementations and datasets used for the Vector Institute Computer Vision Knowledge Transfer project.

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DeepLabv3FineTuning

Tutorial on fine tuning DeepLabv3 segmentation network for your own segmentation task in PyTorch.

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DRENet

The official implementation of DRENet (Degraded Reconstruction Enhancement Network) for tiny ship detection in remote sensing Images

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fastapi-beanie-jwt

Sample FastAPI server with JWT auth and Beanie ODM

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fastapi-mondogb-template

This repository serves as a starting point for building web applications with Python, FastAPI and MongoDB. It provides a structured foundation with preconfigured settings and common features, enabling you to quickly kick-start your backend development.

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fastapi-todo-api

Proyecto de la serie de tutoriales de FastAPI en el que aprenderemos a crear una API desde 0 y paso a paso

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full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

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label-studio-ml-backend

Configs and boilerplates for Label Studio's Machine Learning backend

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LR-TSDet

LR-TSDet: Towards Tiny Ship Detection in Low-Resolution Remote Sensing Images (Remote Sens. 2021)

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marine_debris_ML

Marine debris detection with commercial satellite imagery and deep learning.

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Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera

Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

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mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

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MOSD_LSAR

Marine Oil Spill Detection with Low-quality SAR Remote Sensing Images

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open-cities-ai-challenge

Winners of the Open Cities AI Challenge competition

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particle-life-app

🦠 A GUI for Particle Life, a particle system showing life-like behaviour

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PyTorchStepByStep

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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techniques

Techniques for deep learning with satellite & aerial imagery

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tensorRT_Pro-YOLOv8

This repository is based on shouxieai/tensorRT_Pro, with adjustments to support YOLOv8.

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ThinkComplexity2

Book and code for Think Complexity, 2nd edition

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xview3-reference

Reference data processing code and model for the xView3 prize challenge.

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