Sergio Ramírez (sramirez)

sramirez

Geek Repo

Company:Thales Alenia Space

Location:Madrid (Spain)

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Sergio Ramírez's repositories

spark-infotheoretic-feature-selection

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.

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fast-mRMR

An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).

spark-MDLP-discretization

Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)

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badge

An implementation of the BADGE batch active learning algorithm.

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coursera-deep-learning

Solutions to all quiz and all the programming assignments!!!

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deep-high-resolution-net.TensorFlow

A TensorFlow implementation of HRNet

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DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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Drone_FasterRCNN

Faster RCNN trained for detecting objects from drone views.

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DSND_Term2

Contains files related to content and project of DSND Term 2

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edge-tpu-tiny-yolo

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

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efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

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fastai-v3

Starter app for fastai v3 model deployment on Render

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FeuerFreiKiller

Audio detector of wildfire in open nature

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geotrellis-workshop

GeoTrellis Workshop Material

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JSON2YOLO

Convert JSON datasets into YOLO (darknet) format.

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kaggle_airbus_ship_detection

Kaggle airbus ship detection challenge 21st solution

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keras-deeplab-v3-plus

Keras implementation of Deeplab v3+ with pretrained weights

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lsc-cnn

This repository is a fork of a fork of the original pytorch implementation of LSC-CNN.

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ML_SageMaker_Studies

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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models

Models and examples built with TensorFlow

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sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

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snippets

Snippets from many languages and frameworks

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tf-hrnet

tensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"

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traffic

A toolbox for processing and analysing air traffic data

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vaal

Variational Adversarial Active Learning (ICCV 2019)

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