Pinned Repositories
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《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。
advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
bert
TensorFlow code and pre-trained models for BERT
DDEA
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, DQN, PPO, DDPG, TD3, SAC, ASL)
DEN-ARMOEA
# Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive ProblemsAssisted by a Dropout Neural Network. Gaussian processes are widely used in surrogate-assisted evolutionary optimization of expensive problems. We propose a computationally efficient dropout neural network (EDN) to replace the Gaussian process and a new model management strategy to achieve a good balance between convergence and diversity for assisting evolutionary algorithms to solve high-dimensional multi- and many-objective expensive optimization problems. mainlydue to the ability to provide a confidence level of their outputs,making it possible to adopt principled surrogate managementmethods such as the acquisition function used in Bayesian opti-mization. Unfortunately, Gaussian processes become less practi-cal for high-dimensional multi- and many-objective optimizationas their computational complexity is cubic in the number oftraining samples. # References If you found DNN-AR-MOEA useful, we would be grateful if you cite the following reference: Evolutionary Optimization of High-DimensionalMulti- and Many-Objective Expensive ProblemsAssisted by a Dropout Neural Network (IEEE Transactions on Systems, Man and Cybernetics: Systems).
derl
Code for "Embodied Intelligence via Learning and Evolution", Gupta et al, Nature Communications
ERL-Re2
This is the official implementation of ERL-Re2.
oneDuter's Repositories
oneDuter/-
《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。
oneDuter/advanced-java
😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
oneDuter/awesome-java
A curated list of awesome frameworks, libraries and software for the Java programming language.
oneDuter/DDEA
oneDuter/Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
oneDuter/Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, DQN, PPO, DDPG, TD3, SAC, ASL)
oneDuter/ERL-Re2
This is the official implementation of ERL-Re2.
oneDuter/guided-evolutionary-strategies
Guided Evolutionary Strategies
oneDuter/Hands-on-RL
https://hrl.boyuai.com/
oneDuter/hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
oneDuter/JavaFamily
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
oneDuter/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
oneDuter/LLMLanding
Learning LLM Implementaion and Theory for Practical Landing
oneDuter/ML_Notes
机器学习算法的公式推导以及numpy实现
oneDuter/modular-rl
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
oneDuter/mysql-tutorial
MySQL入门教程（MySQL tutorial book）
oneDuter/oneDuter.github.io
oneDuter/pderl
Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020
oneDuter/PSOAS
Particle Swarm Optimization Assisted by Surrogates
oneDuter/pumpkin-book
《机器学习》（西瓜书）公式详解
oneDuter/PyKrige
Kriging Toolkit for Python
oneDuter/Python-100-Days
Python - 100天从新手到大师
oneDuter/revolver
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)
oneDuter/SACSO
A multi-strategy surrogate-assisted competitive swarm optimizer for expensive optimization problems
oneDuter/seckill
oneDuter/Seckill-1
☁️基于 SpringBoot+Mybatis+Redis+RabbitMQ 秒杀系统 ☁️
oneDuter/Surrogate-assisted-ERL
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning
oneDuter/the-algorithm
Source code for Twitter's Recommendation Algorithm
oneDuter/typora_plugin
Typora plugin. feature enhancement tool | Typora 插件，功能增强工具
oneDuter/uid-generator
UniqueID generator