Alternatives and similar repositories for rnnsm:

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

• ioanabica / Counterfactual-Recurrent-Network
  Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…
  ☆59Updated last year
• MLSurvival / MTLSA
  A Multi-Task Learning Formulation for Survival Analysis
  ☆19Updated 8 years ago
• usaito / counterfactual-cv
  (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’
  ☆31Updated 2 years ago
• sjblim / rmsn_nips_2018
  ☆39Updated 6 years ago
• musically-ut / tf_rmtpp
  Recurrent Marked Temporal Point Processes
  ☆56Updated 3 years ago
• hongyuanmei / neural-hawkes-particle-smoothing
  Source code of the neural Hawkes particle smoothing (ICML 2019)
  ☆43Updated 5 years ago
• ioanabica / Time-Series-Deconfounder
  Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …
  ☆52Updated 4 years ago
• bee-hive / MedGP
  A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.
  ☆29Updated 7 years ago
• mit-caml / multitask-patients
  The code for the models described in "Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU" (KDD 2018).
  ☆21Updated 4 years ago
• BjornarVass / Recsys
  ☆22Updated 2 years ago
• IBM-HRL-MLHLS / IBM-Causal-Inference-Benchmarking-Framework
  Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
  ☆83Updated 6 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 7 years ago
• microsoft / EDDI
  Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
  ☆39Updated last year
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 6 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• blei-lab / deconfounder_public
  ☆21Updated 2 years ago
• chl8856 / AC_TPC
  AC_TPC: Temporal Phenotyping using Deep Predicting Clustering of Disease Progression
  ☆46Updated 4 years ago
• jsyoon0823 / INVASE
  Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR
  ☆60Updated 4 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated last year
• mmcdermott / comprehensive_MTL_EHR
  Source code for a comprehensive analysis of MTL over EHR timeseries data.
  ☆37Updated 2 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 5 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated last year
• mostafaalishahi / eICU_Benchmark
  ☆38Updated 2 years ago
• belaalb / CEVAE-VampPrior
  CEVAE with VampPrior
  ☆11Updated 6 years ago
• vveitch / causal-network-embeddings
  Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
  ☆56Updated 2 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆22Updated last year
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆34Updated last year
• vveitch / causal-embeddings
  Code for "Using Embeddings to Correct for Unobserved Confounding"
  ☆10Updated 5 years ago
• d909b / ame
  🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of featu…
  ☆41Updated 2 years ago