Alternatives and similar repositories for motif-mining

Users that are interested in motif-mining are comparing it to the libraries listed below

• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 5 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• mclmza / AWarp
  Python implementation of AWarp algorithm
  ☆14Updated 4 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆97Updated 6 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆33Updated 9 years ago
• PiotrekGa / pruned-cv
  Machine Learning package allowing faster cross-validation
  ☆18Updated 6 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago
• jayhack / LSTMVRAE
  Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks
  ☆55Updated 9 years ago
• aws-samples / amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts
  This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Ins…
  ☆11Updated 4 years ago
• colah / Visualizing-Representations
  ☆21Updated 7 years ago
• oborchers / Medium_Repo
  This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly…
  ☆51Updated 4 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• IntelLabs / TSAD-Evaluator
  Intel Labs open source repository for time series anomaly detection evaluator
  ☆42Updated 10 months ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 9 years ago
• ntnu-ai-lab / eSNN
  eSNN - Learning similarity measure from data
  ☆12Updated 5 years ago
• dedupeio / hcluster
  Hierarchical Clustering Algorithms
  ☆36Updated 3 years ago
• macks22 / motif-classify
  Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.
  ☆13Updated 8 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆84Updated 4 years ago
• mattjj / pyhsmm-factorial
  ☆18Updated 12 years ago
• ceshine / recurrent-dropout-experiments
  ☆16Updated 6 years ago
• garrettwrong / cuTWED
  Linear memory CUDA Time Warp Edit Distance
  ☆30Updated 3 years ago
• Gananath / NERD
  Evolution of Discrete data with Reinforcement Learning
  ☆13Updated 5 years ago