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The MATLAB codes show simple examples for trajectory generation and control of a robot manipulator, which are built on an adaptive duration hidden semi-Markov model (ADHSMM). The models, algorithms and results given in these codes are part of a project aimed at learning proactive and reactive collaborative robot behaviors.
A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
This repo collects effective multivariate time series clustering codes.
A topic-centric list of HQ open datasets.
A non-parametric Bayesian approach to Hidden Markov Models
Bayesian Hierarchical Hidden semi-Markov Model
Reinforcement learning for a hyper-heuristic selection model
Bayesian nonparametric machine learning for Python
Bayes Net Toolbox for Matlab
BRAIN STATE DYNAMICS (BSD) - HSMM AND VARIATIONAL BAYES
Bus travel time and arrival prediction using ConvLSTM neural networks
R code for CAViaR model
CBAM implementation on Keras
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
cca-zoo: a python package for implementing regularized, deep and probabilistic variants of canonical correlation analysis and partial least squares models.
A MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)
Inspired by the success and computational efficiency of convolutional architectures for various sequential tasks compared to recurrent neural networks. We explored CNN and RCNN autoencoder whose representations can be utilized for the task of time-series classification. Our results surpass existing RNN and DTW-based-classifiers on 11 out of 30 datasets while the existing RNN achieved 8/30.
In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
An implementation by Pytorch
ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
This code is the minimum implementation of the convLSTM
Implementation of Convolutional LSTM in PyTorch.
Pytorch implementations of ConvLSTM and ConvGRU modules with examples
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Source codes for the Coxian Hidden Semi-Markov Models (CxHSMM)
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Detrended Fluctuation Analysis
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.