Alternatives and similar repositories for interp-net:

Users that are interested in interp-net are comparing it to the libraries listed below

• PeterChe1990 / GRU-D
  GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
  ☆128Updated 2 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆124Updated 4 years ago
• reml-lab / mTAN
  Code for "Multi-Time Attention Networks for Irregularly Sampled Time Series", ICLR 2021.
  ☆128Updated 3 years ago
• Han-JD / GRU-D
  inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
  ☆113Updated 6 years ago
• sindhura97 / STraTS
  ☆73Updated 7 months ago
• NIPS-BRITS / BRITS
  ☆81Updated 2 years ago
• ayaabdelsalam91 / TS-Interpretability-Benchmark
  ☆90Updated 3 years ago
• sanatonek / TNC_representation_learning
  ☆117Updated 2 years ago
• edebrouwer / gru_ode_bayes
  Pytorch implementation of GRU-ODE-Bayes
  ☆230Updated 2 years ago
• zhiyongc / GRU-D
  Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
  ☆116Updated 5 years ago
• 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…
  ☆75Updated 2 years ago
• qianlima-lab / DTCR
  The paper "Learning Representations for Time Series Clustering"
  ☆92Updated 4 years ago
• khirotaka / SAnD
  [Implementation example] Attend and Diagnose: Clinical Time Series Analysis Using Attention Models
  ☆47Updated 2 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• chl8856 / AC_TPC
  AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression
  ☆46Updated 3 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆68Updated 4 years ago
• jsyoon0823 / MRNN
  Multi-directional Recurrent Neural Networks (MRNN) - IEEE TBME 2019
  ☆41Updated 5 years ago
• caow13 / BRITS
  Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
  ☆213Updated 6 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 4 months ago
• sanatonek / time_series_explainability
  ☆59Updated 4 years ago
• felixykliu / NAOMI
  ☆51Updated 5 years ago
• kdd2019-tapnet / tapnet
  Multivariate Time Series Classification Model with Attentional Prototype Network
  ☆44Updated 6 years ago
• mbohlkeschneider / gluon-ts
  GluonTS - Probabilistic Time Series Modeling in Python
  ☆51Updated 3 years ago
• rajatsen91 / deepglo
  This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…
  ☆168Updated 4 years ago
• johanndejong / VaDER
  Deep learning for clustering of multivariate short time series with potentially many missing values
  ☆44Updated last year
• gabrielspadon / ReGENN
  Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)
  ☆30Updated 8 months ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• okrasolar / pytorch-timeseries
  PyTorch implementations of neural networks for timeseries classification
  ☆111Updated 3 years ago
• KurochkinAlexey / IMV_LSTM
  Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf
  ☆108Updated 5 years ago
• patrick-kidger / generalised_shapelets
  Code for "Generalised Interpretable Shapelets for Irregular Time Series"
  ☆57Updated last year