Javier Villarrubia (bizancio3)

bizancio3

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Company:r3 Open Agtech

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Javier Villarrubia's repositories

mlbookcamp-code

The code from the Machine Learning Bookcamp book

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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applied-ml

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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approachingalmost

Approaching (Almost) Any Machine Learning Problem

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awesome-data-engineering-learning

Awesome list of data engineering learning materials by subject

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awesome-mlops

A curated list of references for MLOps

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bayesian-analysis-recipes

A collection of Bayesian data analysis recipes using PyMC3

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bizancio3

Github homepage

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Data-science

Collection of useful data science topics along with code and articles

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de-zoomcamp23

personal repository for data engineering zoomcamp (cohort 2023)

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emqx

An Open-Source, Cloud-Native, Distributed MQTT Message Broker for IoT.

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incubator-superset

Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application

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ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

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ml-study-plan

The Ultimate FREE Machine Learning Study Plan

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ml-zoomcamp

Learn ML engineering in 4 months

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model-productization_article

This is repo to demonstrate how to convert from Jupyter Notebook to scripts with some engineering practices

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numpy-100

100 numpy exercises (with solutions)

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prefect-cloud-gcp

Repository template to get started with Prefect Cloud & Google Cloud

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pymc-resources

PyMC educational resources

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python-devops-course

A repo for a course on Python DevOps

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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stat_rethinking_2022

Statistical Rethinking course winter 2022

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storytelling-with-data

Plots from the book "Storytelling with data" implementation using Python and matplotlib

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tldr

๐Ÿ“š Collaborative cheatsheets for console commands

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torchgeo

TorchGeo: datasets, transforms, and models for geospatial data

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workshops-content

This repo consists of all the code, slides and information about the Kubesimplify workshops

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