ddningxu Goto Github PK

33028

aaai_melding_code

Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

book-mathmatical-foundation-of-reinforcement-learning

This is the homepage of a new book entitled "Mathmatical Foundations of Reinforcement Learning."

books

My book list

cl-lns

Code repo for ICML'23 Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

dc3

DC3: A Learning Method for Optimization with Hard Constraints

deep-learning-reproducibility-project

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dive-into-deep-learning-pytorch-pdf

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

imp_layers_demo

Demo codes for the paper on implicit layers

joyrl-book

learn-lns-policy

learn2branch

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

ml4co-competition-hidden

Machine Learning for Combinatorial Optimization - NeurIPS'21 competition (hidden code)

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

more_simple_reinforcement_learning

neurips_2019

[Re] Exact Combinatorial Optimization with Graph Convolutional Neural Networks

optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

predict-and-search_milp_method

Predict and search framework for MilP

qpth

A fast and differentiable QP solver for PyTorch.

satnet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

v202

Proceedings of ICML 2023