Edgar Bahilo Rodríguez's repositories

econ-dispatch

Work space for in development Economic Dispatch Application

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Power-Market-Operations-Final-Project-Unit-Commitment

Security-Constrained Unit Commitment Programming Project

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seer

:chart_with_upwards_trend: Feature-based Forecast Model Selection (FFORMS)

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Ubiqum_Project.3

Energy Consumption Optimization - IoT

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AE_ts

Auto encoder for time series

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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autoencoder_classifier

Autoencoder model for rare event classification

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

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ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

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lstm_autoencoder_classifier

An LSTM Autoencoder for rare event classification

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m2cgen

Transform ML models into a native code (Java, C, Python, Go) with zero dependencies

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ma-thesis

Use RL to balance the electrical power grid with electric vehicle fleets

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Machine-Learning

Some of the ML codes I have come across

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Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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MEEKNESS

Multiple RDBMS and application project featuring meek fictional characters in literature, films, television, songs

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mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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most

MOST – MATPOWER Optimal Scheduling Tool, for steady-state power systems scheduling problems.

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ND-Pyomo-Cookbook

A repository of Pyomo examples.

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Real-time-ML-Project

A curated list of applied machine learning and data science notebooks and libraries across different industries.

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RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

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SDDP.jl

Stochastic Dual Dynamic Programming in Julia

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STLDecompose

A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

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telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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TStrain

Approaches and methods for training forecasting models

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tutorial-grid-science-2019

Julia Tutorial Materials for the Grid Science Winter School 2019

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umap-explorer

An interactive UMAP visualization of the MNIST data set.

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urbs

A linear optimisation model for distributed energy systems

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