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muriqui

Muriqui Optimizer - A convex mixed integer nonlinear programming solver

myrepository-template

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

neural-combinatorial-rl-tensorflow

in progress

neurips_2019

[Re] Exact Combinatorial Optimization with Graph Convolutional Neural Networks

optimization_course

A course on Optimization Methods

pb-dfs

predictive-maintenance

A notebook tutorial series for performing predictive maintenance using machine learning

predictive-maintenance-using-lstm

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

pytorch_dgcnn

PyTorch implementation of DGCNN

qap_pt

quantopian-notebooks

ipython notebooks from quantopian lectures series

reinforcement-learning---interger-programming

Using reinforcement learning to solve integer programming. The environment is created by teaching staff of E4575 Spring 2021, led by Professor Shipra Agrawal.

reinforcement-learning-integer-programming

Repository to store files pertaining to Reinforcement Learning project which aims to solve integer programming problems by learning to choose an optimal cut from a get of gomory cuts.

retro_branching

Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.

risk-slim

simple customizable risk scores in python

rl-integer-programming

A reinforcement learning approach to choosing Gomory cuts for integer programming.

rl_based_parameter_control_ea_si

This repository stores the implementation of an Reinforcement Learning-based parameter controller for evolutionary and swarm-based algorithms.

rlpyt

Reinforcement Learning in PyTorch

robustccopfsupplement

Repository containing supplementary data and code for "A Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation" by Lubin, Dvorkin, and Backhaus

sanger-machine-learning-workshop

Code for machine learning workshop given to Sanger Systems group

simplebenders.jl

A simple implementation of the Benders decomposition method with JuMP

soc-app-served

soc2

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

task

Traffic Assignment frameworK (TAsK). Traffic assignment algorithms for the conventional and non-additive traffic assignment problems.

tg-lstm-network-for-time-series-prediction

This paper have been presented in the form of an oral presentation at the IJCNN-2019 conference. The title is "Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks".

time-series-forecasting-using-machine-learning-algorithm

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

tpa-lstm

Temporal Pattern Attention for Multivariate Time Series Forecasting