搜索资源列表
gpapers
- 一个论文管理软件。 可运行于linux和Windows。 用python编写，使用gtk。-This is gPapers, the open-sourced, Gnome based digital library manager. Think of it as an iTunes for your PDFs.
MLcode
- 这是关于机器学习的经典例程，只有你想不到的，没有你做不到的。即可用来学习，也可参考来写论文。包含几乎所有机器学习的相关内容。-This is the classic routines on machine learning, and only you can not think, no you can not do. Can be used to learn, but also can refer to write papers. Almost all machine learning cont
caltech-image-search-1.0
- 大规模图像检索的代码，matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码，可以对于经典的“词袋”模型（bow模型）有个具体的了解，但是该代码没有提供前序的特征提取，是直接从对提取好的特征向量聚类开始的，包括了k-means，分层k-means（HKM）聚类，倒排文件的建立和索引等，该代码还提供了局部敏感哈希（LSH）方法。最后，这份代码是下面这篇论文的作者提供的， Indexing in Large Scale Image Collections: Sc
ARCGIS
- 利用python和加权模型，做arcgis二次开发的毕业论文，对学习很有帮助-Use python and weighting models, do arcgis secondary development thesis helpful for learning
wypdegree
- 用python实现复杂网络的度分布绘图，本程序以wyp同志的论文数据为例。-Degree with a python distribution mapping of complex networks, the procedures to wyp comrades paper data as an example.
image-enhancement
- 根据论文原理利用python对图像进行亮度和对比度增强，附带论文和测试图片！-Python use the image brightness and contrast enhancement in accordance with the principles of the paper, with papers and test images!
COPRA
- Finding overlapping communities in networks by label propagation论文中基于LPA的扩展算法COPRA，可以用于重叠社区的发现(COPRA, an extension algorithm based on LPA, can be used to discover overlapping communities)
arxiv-master
- arvix网站爬虫，是利用python语言，对预发表的论文信息进行相关的爬取。(The crawler of arvix website uses Python language to crawl related information of pre published papers.)
python神经网络求解农产品需求预测
- 使用BP神经网络预测农产品的需求，论文在知网上应该就一篇。(Using neural network to predict the demand of agricultural products)
gcforest
- 2017年周志华新提出 的深度森林算法，附带论文，程序使用 python。(In 2017, Zhou Zhihua's new depth forest algorithm, with a paper, and a program using python.)
Data sets for spectral clustering
- 论文用的数据，非常实用。里面附带了论文的代码(The data set used in this paper is very practical)
moco
- 语音识别领域的经典论文实现，提供一个可训练的数学模型以预测语音特征(provide a s2s model for speech synthesis and network prediction with python and, e2e solution for production of google)
fast-weights-master
- 论文using fast weights to attend the recent past代码(using fast weights to attend the recent past)
Python-Ant-Colony-TSP-Solver-master
- 用于路径规划的蚁群算法，蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。(Ant colony algorithm for path planning)
pls
- PLS 在python中的解释，论文An Introduction to Partial Least Squares Regression(Explaination of PLS application in python)
pytorch-openpose-master
- 本例程是我研究生阶段做的一个小项目，该项目用pytorch的深度学习框架来进行人体姿态识别，能够实现头部和身体的骨架识别！图像处理方面加入了OpenCV包进行相关的处理，希望能帮助大家！(175/5000 This routine is a small project that I did in the graduate stage. The project uses pytorch's deep learning framework to recognize human body postu
EEGNet-master
- EEGNet的python实现，复现论文：A Compact Convolutional Network for EEG-based Brain-Computer Interfaces(Python implementation of EEGNet)
gae_in_pytorch-master
- 图形自动编码器GAE的pytorch实现，可参考论文VGAE(Implementation of graph self encoder gae with Python)
vgae_pytorch-master
- 图形自动编码器的pytorch实现，参考论文vgae(Implementation of graph self encoder gae with Python)
U-Net-master-python
- 论文U-Net: Convolutional Networks for Biomedical Image Segmentation的实现代码，使用Unet卷积神经网络，实现了细胞的轮廓识别。使用Python代码，keras框架。