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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
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)
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)
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)
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。