rluiseugenio Goto Github PK
Name: L.E. R.J.
Type: User
Company: MN Tech
Bio: Science is a differential equation. Religion is a boundary condition. Chief Data Geek @Minimo-Necesario
Twitter: rluiseugenio
Location: Mexico
L.E. R.J.'s Projects
analisis-numerico-computo-cientifico
Análisis numérico y cómputo científico
arquitectura-datos-proyecto
Proyecto de arquitectura de datos
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
ciencia-de-datos-para-politicas-publicas
Sitio del curso Ciencia de Datos para Políticas Públicas
cpsc540project
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
data-science--cheat-sheet
Cheat Sheets
data-science-best-resources
Carefully curated resource links for data science in one place
data-science-blogs
A curated list of data science blogs
data-science-wiki
A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets
datascienceresources
Open Source Data Science Resources.
dpa_rita
Proyecto Final de la materia Arquitectura de Productos de Datos- MCD-ITAM
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
echarts4r
🐳 ECharts 4 for R
free-data-science-books
Free resources for learning data science
free-data-science-learning
gcloud
Google Cloud tutorial and setup
hsa
image-caption-bot
Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flickr8k available on Kaggle.
image_triplet_loss
Image similarity using Triplet Loss
mlops-meetup
osrm-backend
Open Source Routing Machine - C++ backend
pds19-proyecto-final
python
All Algorithms implemented in Python
r-in-prod
Productionizing R models & code
self-readings
speedchallenge
The comma.ai Speed Prediction Challenge!
transalt
transformacionalternativa
triage
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
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