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xiaohu-cqu's Projects

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适用单层感知器为两类鸳尾花数据做分类

deep-learning icon deep-learning

:computer:深度学习实战:实战教程、手写数字识别、Discuz验证码识别

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

docs icon docs

TensorFlow documentation

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

hmmlearn icon hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

learn_dl icon learn_dl

Deep learning algorithms source code for beginners

machine_learning_python icon 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

machinelearning icon machinelearning

《统计学习方法》相关的机器学习实现代码。Machine Learning.

machinelearning_zhouzhihua_problemsets icon machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题,个人解答。各算法都拿numpy和pandas实现了一遍

mean-teacher icon mean-teacher

A state-of-the-art semi-supervised method for image recognition

multi-nilm icon multi-nilm

Multi-NILM: Multi Label Non Intrusive Load Monitoring

neuralnetnilm icon neuralnetnilm

Deep neural networks to non-intrusive load monitoring (energy disaggregation)

nilmtk icon nilmtk

Non-Intrusive Load Monitoring Toolkit (nilmtk)

numpy icon numpy

The fundamental package for scientific computing with Python.

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

planetoid icon planetoid

Semi-supervised learning with graph embeddings

pruned-nilm icon pruned-nilm

This repo provides four weight pruning algorithms for use in sequence-to-point energy disaggregation as well as three alternative network architectures.

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