rui-ranyu Goto Github PK

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

actor_criticpointer_network-tsp

Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)

aip

Automatic Investment Plan

aip-mutualfund

Automatic Investment Plan of Mutual Fund

attention-based-reward-seqgan

Sequence Generative Adversarial Learning with Attention-Based Reward for Neural Conversation Model

awesome-cs-books

计算机类常用电子书整理，并且附带下载链接，包括C，C++，Java，Python，Java，Linux，Go，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等

awesome-metarl

A curated list of awesome Meta Reinforcement Learning

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

brp

GA;TSP;2-opt;MTSP

clash_for_windows_pkg

A Windows/macOS GUI based on Clash

competition-baseline

数据科学竞赛各种baseline代码、思路分享

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deepmetalearningtsp

Learning to choose the best TSP heuristic using deep learning and LSTMs

drl_gbi

The code and related work of my project - combining (deep) reinforcement learning and goals-based investing

ea-gan

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

encode-attend-navigate

Learning Heuristics for the TSP by Policy Gradient

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gan-1

A 1D toy example of optimizing a generative model using the WGAN-GP model.

gan-for-tabular-data

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

gmoea

Official implementation of GMOEA.

google-research

Google Research

investment

量化投资探索指数基金定投的策略

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

leakgan-python3

python3 + TensorFlow1.12.0 + 中文注释