Pinned Repositories
amazon-sagemaker-byoa-prophet-tutorial
Este tutorial muestra como integrar algoritmos propios a Amazon Sagemaker.
CIT_LSTM_TimeSeries
LSTM Model for Electric Load Forecasting
Cold-Start-Energy-Forecasting
This project challenging and interesting enough for me. I open to you who wanna join in this project. for having fun guys. money is bonus.
CVaR-EconomicDispatch
Optimization models to perform economic dispatch with CVaR calculations
delta-lake-polars
Building a poor man's data lake: Exploring the Power of Polars and Delta Lake
Dispa-SET
The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC
econ-dispatch
Work space for in development Economic Dispatch Application
Energy_Demand_Forecasting
UPC KTH Master Thesis on Energy Demand Forecasting for Smart Buildings. Developed in R with actual buildings data
JuliaBox
uc-reference-model
Unit commitment model based on: A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem
edgBR's Repositories
edgBR/uc-reference-model
Unit commitment model based on: A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem
edgBR/delta-lake-polars
Building a poor man's data lake: Exploring the Power of Polars and Delta Lake
edgBR/amazon-sagemaker-byoa-prophet-tutorial
Este tutorial muestra como integrar algoritmos propios a Amazon Sagemaker.
edgBR/siemens-ds-coding-test
edgBR/auto-ml-toy-datasets
A bunch of data sets to evaluate autoML tooling (autogluon, pycaret, h2o, cloud services for autoML etc)
edgBR/aws-lambda-r-runtime
Experiments to run R in AWS Lambda
edgBR/azure-open-ai-embeddings-qna
edgBR/bike_predict
A demo of an end-to-end machine learning pipeline, using RStudio Connect
edgBR/blog
Collection of the codes which are used on our blog at https://www.statworx.com/de/blog/
edgBR/coursera
Assignments for Coursera DataScience Specialization
edgBR/coursera-nlp-specialization
edgBR/dagster-polars
Polars integration for Dagster
edgBR/data-assignment
A simple challenge of data engineering
edgBR/feast-demo-with-azureml-and-synapse
edgBR/forecasting
Time Series Forecasting Best Practices & Examples
edgBR/google-research
Google Research
edgBR/gradio-deephaven-rt
edgBR/hiplot-mlflow
HiPlot fetcher for experiments logged with MLflow
edgBR/kedro-examples
Examples of data science projects created with Kedro.
edgBR/ml-kf-pipeline
In this repo it is show how to build and deploy a simple pipeline using Kubernetes, Kubeflow pipelines and seldon-core.
edgBR/mxnet-with-mlflow-in-sagemaker
Track MXNet models experiments with MLflow running in Amazon SageMaker
edgBR/OpenMLOps
edgBR/r-sagemaker-examples
experimenting with sagemaker
edgBR/sagemaker-experiments
Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.
edgBR/scikit-learn
scikit-learn: machine learning in Python
edgBR/skforecast
Time series forecasting with scikit-learn models
edgBR/spark
Apache Spark - A unified analytics engine for large-scale data processing
edgBR/the-nlp-road
edgBR/ts-workshop
edgBR/variational-auto-encoders-in-sagemaker