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3d-bin-container-packing

A variant of the Largest Area Fit First (LAFF) algorithm

3d-bin-container-packing-1

A variant of the Largest Area Fit First (LAFF) algorithm + brute force algorithm

3d_bin_container

基于组合启发式算法的三维装箱

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)

bin_packing_py

A comparison of first fit, first fit decreasing, and best fit bin packing algorithms in Python3.

binpack

2D Bin Packing Algorithm

content

Official content for Harvard CS109

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

drl_binpacking

3D bin packing is a classical and challenging combinatorial optimization problem in logistics and production systems. An effective bin packing algorithm means the reduction of total packing cost and increase in utilization of resources. Because the cost of packing materials, which is mainly determined by their surface area, occupies the most part of packing cost, and in many real business scenarios there is no bin with fixed size, so AI Department of Cainiao proposed a new type of 3D bin packing problem. The objective of this new type of 3D bin packing problem is to pack all items into a bin with minimized surface area. And a DRL method based on the sequence-to-sequence model is proposed to solve the problem. This is the research paper link: https://arxiv.org/abs/1708.05930. Source code of this method can be found in the project.

elo_merchant_category_recommendation

Code for the Elo Merchant Category Recommendation Kaggle challenge

evolutionary-algorithm

Evolutionary Algorithm using Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

kaggle-tools

Some tools that I often find myself using in Kaggle challenges.

kaggle_meterials

It's a place contains all conference of kaggle competition

keras

Deep Learning for humans

learningspace

this is my website

machine_learning

metaheuristic-local-search-4-opt

4-opt Function for TSP problems.

notes

Classtag's Notebooks

pointer-network-tensorflow

TensorFlow implementation of "Pointer Networks"

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

python-api-tesing

python中文库-python人工智能大数据自动化接口测试开发。 书籍下载及python库汇总https://china-testing.github.io/

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

recommenders

Best Practices on Recommendation Systems

sa_tsp

Q-Learning applied to the classic Travelling Salesman Problem

shelf-pack

A 2D rectangular bin packing data structure that uses the Shelf Best Height Fit heuristic

simulated-annealing-parallelization

全国并行应用挑战赛作品-利用MPI并行编程技术实现对解决TSP问题的模拟退火算法优化

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow