Gangstart

course

datamining

learn in datamining

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.

Gangstart

Config files for my GitHub profile.

learning-area

Github repo for the MDN Learning Area.

Myresume

My first resume

Packing-3D-RL

3D bin packing with reinforce learning

simplewebrtc-demo-app

SimpleWebRTC Demo Application

tensorflow_models_learning

tensorflow GoogleNet inception V1 V2 V3 V4

UI

排课系统前端

Gangstart/Packing-3D-RL

3D bin packing with reinforce learning

Gangstart/UI

排课系统前端

Gangstart/course

Gangstart/datamining

learn in datamining

Gangstart/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.

Gangstart/Gangstart

Config files for my GitHub profile.

Gangstart/learning-area

Github repo for the MDN Learning Area.

Gangstart/Myresume

My first resume

Gangstart/simplewebrtc-demo-app

SimpleWebRTC Demo Application

Gangstart/tensorflow_models_learning

tensorflow GoogleNet inception V1 V2 V3 V4