Edgar Bahilo Rodríguez's repositories
bcgov-rstats-public-presentations
Content (slide decks etc) from presentations related to use of R (#rstats) in the B.C. government
COVID-19
COVID-19 Italia - Monitoraggio situazione
batchtools
Tools for computation on batch systems
sig-mlops
CDF SIG MLOps
time_series
Time series forecasting models for web traffic forecasting
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
dl-keras-tf
rstudio::conf(2020) deep learning workshop
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
prometheus-anomaly-detector
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
nni
An open source AutoML toolkit for neural architecture search, model compression and hyper-parameter tuning.
sagemaker-pipeline
Sagemaker pipeline for AWS Summit New York
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
analytics-zoo
Distributed Tensorflow, Keras, PyTorch and BigDL on Apache Spark
ts_service
Example of building web service serving time-series model inside.
eks-workshop
AWS Workshop for Learning EKS
ml-projects
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
machine-learning-applied-to-cfd
Examples of how to use machine learning algorithms in computational fluid dynamics.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
mlcourse.ai
Open Machine Learning Course
skits
scikit-learn-inspired time series
companies-using-r
A Curated list of R uses in entreprise
awesome-data-labeling
A curated list of awesome data labeling tools
dts
A Keras library for multi-step time-series forecasting.
Computational-Fluid-Dynamics-Machine-Learning-Examples
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
TagAnomaly
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
nordpool
Python library for fetching Nord Pool spot prices.