fengchen's repositories
Language:HTMLMIT000
Charging_demand_simulation_STEP-TV
A spatial-temporal simulation model for EV charging demand
google-research
Google Research
Apache-2.0000
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
MIT000
TransportationNetworks
Transportation Networks for Research
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End-to-end-for-chinese-plate-recognition
基于u-net，cv2以及cnn的中文车牌定位，矫正和端到端识别软件，其中unet和cv2用于车牌定位和矫正，cnn进行车牌识别，unet和cnn都是基于tensorflow的keras实现
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data_mine
Apriori and fp-growth implement of python
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CarPlateIdentity
车牌识别
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machine_learning_python
通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
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Clustering-Algorithms
基于Python实现了K-Means、GMM、DBSCAN、AGNES等四种常见的聚类算法
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em
em算法python实现
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gmm
Gaussian Mixture Models in Python
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