Alternatives and similar repositories for adapt:

Users that are interested in adapt are comparing it to the libraries listed below

• KevinMusgrave / pytorch-adapt
  Domain adaptation made easy. Fully featured, modular, and customizable.
  ☆368Updated 2 years ago
• Wensi-Tang / OS-CNN
  ☆138Updated 2 years ago
• hfawaz / cd-diagram
  Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
  ☆274Updated 2 years ago
• uchidalab / time_series_augmentation
  An example of time series augmentation methods with Keras
  ☆344Updated 3 years ago
• White-Link / UnsupervisedScalableRepresentationLearningTimeSeries
  Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments
  ☆397Updated 7 months ago
• GRichard513 / ADisc-MSDA
  Code for Unsupervised Multi-Source Domain Adaptation for Regression paper
  ☆17Updated 4 years ago
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆40Updated 11 months ago
• mims-harvard / Raincoat
  Domain Adaptation for Time Series Under Feature and Label Shifts
  ☆116Updated last year
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆123Updated 4 years ago
• hturbe / InterpretTime
  Implementation of the InterpretTime framework
  ☆43Updated last year
• emadeldeen24 / AdaTime
  [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
  ☆199Updated last year
• okrasolar / pytorch-timeseries
  PyTorch implementations of neural networks for timeseries classification
  ☆111Updated 3 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆177Updated last year
• antoinedemathelin / wann
  Adversarial Weighting for Domain Adaptation in Regression
  ☆22Updated 2 years ago
• criteo-research / pytorch-ada
  Another Domain Adaptation library, aimed at researchers.
  ☆97Updated 2 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• rymc / n2d
  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …
  ☆132Updated last year
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆76Updated 2 years ago
• thuml / A-Roadmap-for-Transfer-Learning
  ☆161Updated 2 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆114Updated 3 years ago
• mqwfrog / ULTS
  ULTS: A unified and standardized library of unsupervised representation learning approaches for time series
  ☆44Updated last year
• TheMrGhostman / InceptionTime-Pytorch
  Unofficial Pytorch implementation of Inception layer for time series classification and its possible transposition for further use in Var…
  ☆47Updated last year
• sanatonek / TNC_representation_learning
  ☆114Updated 2 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆150Updated 4 years ago
• thuml / Domain-Adaptation-Regression
  Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)
  ☆81Updated 3 years ago
• NaJaeMin92 / pytorch-DANN
  PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)
  ☆131Updated last year
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆133Updated last year
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆99Updated last year
• XAIseries / XCM
  XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification
  ☆49Updated 2 years ago