Xijun LI's repositories
xijunlee.github.io
My personal blog
L2O-G2MILP
This is the code of paper "A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability". Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang, Feng Wu. NeurIPS 2023 (Spotlight).
L2O-HEM-Torch
The code of paper Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. Zhihai Wang, Xijun Li, Jie Wang*, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu. ICLR 2023.
tensorflow-learning
This repo records what I 've learned in tensorflow.
sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Hybrid-learn2branch
Hybrid Models for Learning to Branch (NeurIPS 2020)
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
sphinx
Main repository for the Sphinx documentation builder
Learning-to-Optimize-Arxiv
The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.
pdp-formulation
This repository contains the mathematical model of PDP, which is a static version of DPDP. The pdf file is in submission to ICDE2021
gitignore
A collection of useful .gitignore templates
awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
shell-book
❤️Shell脚本学习系列教程：6小节内容轻松掌握shell编程。
kddcup2019-archaive
Our implementation code, summary and experience of KDD Cup 2019 Automl Track
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
GNNPapers
Must-read papers on graph neural networks (GNN)
ReinforcementLearning-AtariGame
Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
30min_guides
覃健祥的学习笔记，各种几十分钟入门的文档
book
Book PDF
iBooks
计算机图书,java,mysql,架构类,web