zjyrr's starred repositories
input_driven_rl_example
Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)
OR-Datasets
Instance datasets of operations research problems.
deep_learning_with_noisy_labels_literature
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
interview
📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.
bank_interview
:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）
muzero-general
MuZero
GenerativeLEGO
Code implementation for the paper "Building LEGO Using Deep Generative Models of Graphs"
transformer-pytorch
Transformer implementation in PyTorch.
Jigsaw-Net
Solving Jigsaw Puzzles with Deep Convolutional Neural Networks
decision-transformer
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Hierarchical-Actor-Critc-HAC-
This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
Hierarchical-Actor-Critic-HAC-PyTorch
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
safe_a2oc_delib
Safe Option Critic: Learning Safe Options in the A2OC Architecture
spinningup
An educational resource to help anyone learn deep reinforcement learning.
Online-3D-BPP-DRL
This repository contains the implementation of paper Online 3D Bin Packing with Constrained Deep Reinforcement Learning.
SEAggregation
Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
TSP_Transformer
Code for TSP Transformer
attention-learn-to-route
Attention based model for learning to solve different routing problems
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.