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model-and-algorithm

模型与算法-book

models

Models and examples built with TensorFlow

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

momceda

Source files for the Multi-Objective Multi Criteria Estimation of Distribution Algorithm (MOMCEDA) (repository under development)

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

neat-python

Python implementation of the NEAT neuroevolution algorithm

neural-combinatorial-rl-pytorch

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

nlp-beginner

NLP上手教程

nlp_research

Keep looking, Don't settle.

note-of-interview

《互联网面试笔记》收集和分析互联网常见面试题，并将这些面试知识整理成文方便大家查阅。主要是面向java程序员，但基础知识部分不同语言程序员(c,c++,python等）都可以参考。---持续更新中, 欢迎编辑~

notes4cs229d

结合cs229d笔记和幻灯片，简单地总结所学习的内容

nsga2_vs_firefly

A comparitive study between NSGA2 and Firefly Algorithms

numpy-ml

Machine learning, in numpy

ocr_repo

文本检测、文本识别(cnn+ctc、crnn+ctc)

octaveconv

A MXNet Implementation for Drop an Octave

oneflink

operational-research---project

Java, Swing, firefly algorithm

paper-iv

H. Ingimundardotir, T.P. Runarsson. Evolutionary Learning of Weighted Linear Composite Dispatching Rules for Scheduling. In: 6th International Conference on Evolutionary Computation Theory and Applications (ECTA6), October 22-24, 2014. doi:10.5220/0005077200590067.

paper-v

H. Ingimundardotir, T.P. Runarsson. Generating Training Data for Learning Linear Composite Dispatching Rules for Scheduling. In: Learning and Intelligent OptimizatioN (LION9), January 12-16, 2015. Nominated for Best Paper Award.

personal-blog-template

Personal blog of LiuLei

photo2cartoon

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

pickup-and-delivery-problem---rl

Solving a pickup and delivery problem with time windows using reinforcement learning

pickup-delivery-route-finder

CMPUT 275 Final Project: Find an the most efficient order route to pickup and deliver multiple orders, a variation of the travelling salesman problem.

pickup-delivery-vrp

Naive branching implementation of a specific pick-up and delivery vehicle routing optimization problem.

platemo

Evolutionary multi-objective optimization platform

put_flavors_sa

2018华为软件精英挑战赛，采用模拟退火算法+首次适应算法寻找最优化放置虚拟机方法。

pyfirefly

Firefly optimization algorithm

python-for-probability-statistics-and-machine-learning

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

pytorch-code-template

This is template for pytorch

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.