rui-ranyu Goto Github PK

learngit

metagenrl

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

ml-dam

ml4co-competition

Machine Learning for Combinatorial Optimization - NeurIPS'21 competition

moead

MOEAD.多目标差分进化算法的学习，Python实现&动态展示过程&b站讲解

mybatis

中文注释并附带图解架构

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

one-dimensional-gan

用GAN生成一维数据

photo2cartoon

人像卡通化探索项目 (photo-to-cartoon translation project)

platemo

Evolutionary multi-objective optimization platform

plotneuralnet

Latex code for making neural networks diagrams

po-gan-solvers

GAN for CSP (only TSP for now...) using existing solvers

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

pointer_summarizer

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

pointernetwork-rl-tsp

指针网络+强化学习 解决旅行商(TSP)问题

points_to_polys

Mapping points (cities, etc.) to health region polygons

pytorch-dcgan-for-icons

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch_tutorial

《Pytorch模型训练实用教程》中配套代码

quant-backtesting

量化投资回测，python，wind，股票基金

rl_tsp_4static

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

rougier-2017

Weighted Voronoi Stippling, ReScience 3(4), 2017

seqgan-pytorch

An optimized version of SeqGAN in pytorch

springmvc-mybatis-learning

SpringMVC 和 MyBatis 学习笔记，搭配示例，主要讲解一些基础的概念、用法和配置

stock

stock，股票系统。使用python进行开发。

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

time-series-analysis-tutorial

时间序列分析教程

tsp

遗传算法、禁忌搜索、模拟退火、蚁群算法

tsp-solver

Travelling Salesman Problem solver in pure Python + some visualizers