piquepq's repositories

retro_branching

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

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xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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Coluna.jl

Branch-and-Price-and-Cut in Julia

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OptiCL

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

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EAS

Efficient Active Search

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PPO-BiHyb

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

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awesome

😎 Awesome lists about all kinds of interesting topics

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best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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pyomo

An object-oriented algebraic modeling language in Python for structured optimization problems.

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ml4co-survey

A survey on machine learning for combinatorial optimization.

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ml4co-competition

Self-bootstrapping bayesian optimization for SCIP configuration using GNNs. Should be easy, no?

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awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

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ReDUCE

ReDUCE: Reformulation of Mixed Integer Programs using Data fromUnsupervised Clusters for Learning Efficient Strategies

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Self-learning-Computer-Science

the resources I use to learn computer science in my spare time

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ecole

Extensible Combinatorial Optimization Learning Environments

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branch2learn

:trident: Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole

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learn2branch-ecole

Reimplementation of "Exact Combinatorial Optimization with Graph Convolutional Neural Networks" (NeurIPS 2019)

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learning_mip

Your best resource to learn mixed-integer programming to solve practical decision-making problems.

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leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

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LetsGo_1

Config files for my GitHub profile.

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MIPLearn

Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

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python3-cookbook

《Python Cookbook》 3rd Edition Translation

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BinPacking_Neural_Combinatorial_Optimization

Bin Packing Problem using Neural Combinatorial Optimization.

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branch-search-trees

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)

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jd_seckill

京东秒杀商品抢购

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