Weiyu Zheng's repositories
learningspace
this is my website
recommenders
Best Practices on Recommendation Systems
3d-bin-container-packing-1
A variant of the Largest Area Fit First (LAFF) algorithm + brute force algorithm
kaggle_meterials
It's a place contains all conference of kaggle competition
Bin_Packing_Py
A comparison of first fit, first fit decreasing, and best fit bin packing algorithms in Python3.
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/
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.
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
elo_merchant_category_recommendation
Code for the Elo Merchant Category Recommendation Kaggle challenge
3d-bin-container-packing
A variant of the Largest Area Fit First (LAFF) algorithm
kaggle-tools
Some tools that I often find myself using in Kaggle challenges.
Evolutionary-Algorithm
Evolutionary Algorithm using Python
3d_bin_container
基于组合启发式算法的三维装箱
shelf-pack
A 2D rectangular bin packing data structure that uses the Shelf Best Height Fit heuristic
pytorch-drl4vrp
Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).
keras
Deep Learning for humans
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
Metaheuristic-Local-Search-4-opt
4-opt Function for TSP problems.
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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.
TSP
遗传算法、禁忌搜索、模拟退火、蚁群算法
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)
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
notes
Classtag's Notebooks
sa_tsp
Q-Learning applied to the classic Travelling Salesman Problem