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quliuwuyihmy's Projects

autoencoder icon autoencoder

Reducing the Dimensionality of Data with Neural Network

awesome-algorithm icon awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

bayeshmm icon bayeshmm

Full Bayesian Inference for Hidden Markov Models

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dl-4-tsc icon dl-4-tsc

Deep Learning for Time Series Classification

dlmatframework icon dlmatframework

Implementation of Deeplearning library based on my book https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/

dnn-hmm icon dnn-hmm

This directory contains all the Perl scripts and MATLAB codes we writed for the identification of replication domains using DNN-HMM in our paper.

ebooks icon ebooks

喵爷的个人书单,回家了要好好看书

gbprbm_numpy icon gbprbm_numpy

A Python3-NumPy implementation of contrastive divergence algorithm for training Gaussian-Bipolar Restricted Boltzmann Machines

grbm icon grbm

Restricted Boltzmann Machine with real visible/binary hidden units

gwm icon gwm

Grid Workload Modeller

hmm icon hmm

Python Hidden Markov Models framework

hmm-and-bayesian-hmm icon hmm-and-bayesian-hmm

Dicrete and Mixture of Gaussian HMM and Bayesian HMM(离散和混合高斯隐马尔可夫模型和贝叶斯隐马尔可夫模型)

hmminlab icon hmminlab

我对HMM的理解文档,以及一个离散HMM的cpp实现,和使用bat脚本语言自动化HTK的小例子

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