Awesome-Human-Activity-RecognitionAn up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
Stars: ✭ 72 (+166.67%)
Mutual labels: time-series, paper
RganRecurrent (conditional) generative adversarial networks for generating real-valued time series data.
Stars: ✭ 480 (+1677.78%)
Mutual labels: time-series, paper
CoronaDashCOVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Stars: ✭ 20 (-25.93%)
Mutual labels: time-series, time-series-clustering
TslearnA machine learning toolkit dedicated to time-series data
Stars: ✭ 1,910 (+6974.07%)
Mutual labels: time-series, time-series-clustering
CommunityDetection复杂网络社区发现算法、评价指标、常用数据集整理
Stars: ✭ 171 (+533.33%)
Mutual labels: community-detection, complex-networks
Object-Detection-Confidence-BiasCode for "The Box Size Confidence Bias Harms Your Object Detector" (https://arxiv.org/abs/2112.01901)
Stars: ✭ 22 (-18.52%)
Mutual labels: paper
simplagionCode associated to the paper 'Simplicial models of social contagion' Nat. Commun. (2019)
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Mutual labels: complex-networks
TAGCNTensorflow Implementation of the paper "Topology Adaptive Graph Convolutional Networks" (Du et al., 2017)
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Mutual labels: paper
watchmanWatchman: An open-source social-media event-detection system
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Mutual labels: community-detection
sensimSentence Similarity Estimator (SenSim)
Stars: ✭ 15 (-44.44%)
Mutual labels: paper
gmwmGeneralized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.
Stars: ✭ 21 (-22.22%)
Mutual labels: time-series
ts-forecasting-ensembleCentOS based Docker container for Time Series Analysis and Modeling.
Stars: ✭ 19 (-29.63%)
Mutual labels: time-series
gemnet pytorchGemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
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Mutual labels: paper
gpu accelerated forecasting modeltime gluontsGPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business Science.
Stars: ✭ 20 (-25.93%)
Mutual labels: time-series
SMC.jlSequential Monte Carlo algorithm for approximation of posterior distributions.
Stars: ✭ 53 (+96.3%)
Mutual labels: time-series
dtsA Keras library for multi-step time-series forecasting.
Stars: ✭ 130 (+381.48%)
Mutual labels: time-series
adageData and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016
Stars: ✭ 61 (+125.93%)
Mutual labels: paper
Deep-Signature-TransformsCode for "Deep Signature Transforms" (NeurIPS 2019)
Stars: ✭ 65 (+140.74%)
Mutual labels: time-series
mvts-ano-evalA repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)
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Mutual labels: time-series
FredA fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.
Stars: ✭ 13 (-51.85%)
Mutual labels: time-series