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Reducing the Dimensionality of Data with Neural Network
Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现
Full Bayesian Inference for Hidden Markov Models
tensorflow on time-series prediction
Boltzmann Machines in TensorFlow with examples
A set of scripts that extract speech features (so far MFCCs, FBANKs, STFT, and kinda dominant frequency) and trains CNN, LSTM, or CNN+LSTM models with those features.
Asset Allocation Strategies and Models for Chinese Market
Source code examples from the Parallel Forall Blog
Image classification of DBN based on tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
Deep Learning Models implemented in python.
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
dbn
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
The deeplearning algorithms implemented by tensorflow
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.
paper model
Deep Learning for Time Series Classification
深度学习工程师生存指南
Implementation of Deeplearning library based on my book https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/
This directory contains all the Perl scripts and MATLAB codes we writed for the identification of replication domains using DNN-HMM in our paper.
喵爷的个人书单,回家了要好好看书
GaussianBernoulliRBM, RBM
A Python3-NumPy implementation of contrastive divergence algorithm for training Gaussian-Bipolar Restricted Boltzmann Machines
Restricted Boltzmann Machine with real visible/binary hidden units
Grid Workload Modeller
Python Hidden Markov Models framework
Action recognition using skeleton information based on HMM model
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)
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.