Alternatives and similar repositories for rnn-time-to-event

Users that are interested in rnn-time-to-event are comparing it to the libraries listed below

• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆39Updated 3 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 5 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 5 years ago
• vub-dl / u-cmab
  Uplifted Contextual Multi-Armed Bandit
  ☆19Updated 3 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 4 years ago
• bquistorff / pricingengine
  ☆19Updated 7 years ago
• spotify-research / tdsurv
  Code for the paper "Temporally-Consistent Survival Analysis".
  ☆24Updated 2 years ago
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 7 years ago
• shoaibahmed / TSViz-Core
  Code for the paper: "TSViz: Demystification of Deep Learning Models for Time-Series Analysis"
  ☆13Updated 6 years ago
• grobgl / rnnsm
  ☆18Updated 7 years ago
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 4 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 6 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆52Updated 2 years ago
• UBS-IB / bayesian_tree
  ☆52Updated 4 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆13Updated 5 years ago
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 years ago
• Mikata-Project / FilterNet
  A PyTorch ensemble neural network model used for time series analysis.
  ☆59Updated 6 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• georgehc / survival-kernets
  Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee
  ☆9Updated 3 months ago
• klostest / uplift_modeling
  ☆17Updated 4 years ago
• CausalML / interventions-disparate-impact-responders
  Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
  ☆11Updated 5 years ago
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆17Updated 7 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 3 years ago