Alternatives and similar repositories for TL-for-TSC

Users that are interested in TL-for-TSC are comparing it to the libraries listed below

• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆18Updated 8 months ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• rtavenar / LDPS
  Learning DTW-Preserving Shapelets
  ☆23Updated last year
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago
• zahraatashgahi / ALACPD
  Change-point detection using neural networks
  ☆18Updated last year
• sktime / distance-based-time-series-clustering
  ☆10Updated 2 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• time-series-machine-learning / tsml-eval
  Evaluation tools for time series machine learning algorithms.
  ☆51Updated this week
• mtdo / ts-segment
  Semantic segmentation models for multivariate time series using PyTorch and Ignite
  ☆18Updated 2 years ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 3 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆35Updated last year
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 3 years ago
• snap-stanford / masa
  Motif-Aware State Assignment in Noisy Time Series Data
  ☆23Updated 4 years ago
• rakshitha123 / Localised_Ensembles
  This repository contains the experiments of our paper titled, "Ensembles of Localised Models for Time Series Forecasting" which is online…
  ☆14Updated 3 years ago
• godatadriven / piven
  Prediction Intervals with specific value prediction
  ☆18Updated 4 years ago
• ari-dasci / S-TSFE-DL
  Time Series Feature Extraction using Deep Learning
  ☆59Updated last year
• timeseriesAI / timeseriesAI1
  Practical Deep Learning for Time Series / Sequential Data using fastai1/ Pytorch
  ☆22Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• RifleZhang / CORD_CPD
  Correlation-aware Change-point Detection via Graph Neural Networks
  ☆16Updated 4 years ago
• MSRDL / TSA
  Time Series Anomaly Detection Toolkit
  ☆22Updated 6 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• AIStream-Peelout / flow_tutorials
  Public tutorials of using Flow Forecast for forecasting and classifying time series data
  ☆46Updated last year
• BorealisAI / ssl-for-timeseries
  Self Supervised Learning for Time Series Using Similarity Distillation
  ☆10Updated 2 years ago
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 6 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago