Starred repositories
Use Deep Q-Learning model to optimize energy consumption of a data center
Federated data center power consumption prediction.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Bilevel Knapsack with Interdiciton Constraints
Prediciton of loads in data centers using Machine Learning (ML) Models
constrained nonlinear optimization for scientific machine learning, UQ, and AI
A JuMP extension for Stochastic Dual Dynamic Programming
Python interface for the SCIP Optimization Suite
MIE424 Group Project: smart_predict_optimize
cdd wrapper module for Julia. cdd is a library for polyhedra manipulation such as double description and Fourier-Motzkin elimination
OptNet: Differentiable Optimization as a Layer in Neural Networks
This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function
使用Qt (C++) 重构的pyETRC项目。原始项目参见 https://github.com/CDK6182CHR/train_graph
Univariate density estimation via Bernstein polynomials; able to model explicit combinatorial shape constraints.
Task-based end-to-end model learning in stochastic optimization
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.