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adhsmm

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.

algrithm

at-conv-lstm

A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-multivariate-time-series-clustering-algorithms

This repo collects effective multivariate time series clustering codes.

awesome-public-datasets

A topic-centric list of HQ open datasets.

bayesian-hmm

A non-parametric Bayesian approach to Hidden Markov Models

bh-hsmm

Bayesian Hierarchical Hidden semi-Markov Model

binpackingpolicygradients

Reinforcement learning for a hyper-heuristic selection model

bnpy

Bayesian nonparametric machine learning for Python

bnt

Bayes Net Toolbox for Matlab

bsd

BRAIN STATE DYNAMICS (BSD) - HSMM AND VARIATIONAL BAYES

bus-arrival-convlstm

Bus travel time and arrival prediction using ConvLSTM neural networks

caviar

R code for CAViaR model

cbam-keras

CBAM implementation on Keras

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

cca_zoo

cca-zoo: a python package for implementing regularized, deep and probabilistic variants of canonical correlation analysis and partial least squares models.

ceemdan

A MATLAB package for CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)

cnn-convlstm-time-series

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.

cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

convlstm

An implementation by Pytorch

convlstm-pytorch

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

convlstm_minimum

This code is the minimum implementation of the convLSTM

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

convlstmgru

Pytorch implementations of ConvLSTM and ConvGRU modules with examples

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cxhsmm

Source codes for the Coxian Hidden Semi-Markov Models (CxHSMM)

d2l-zh

《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。

dfa

Detrended Fluctuation Analysis