Alternatives and similar repositories for TensorFlow-Survival-Analysis:

Users that are interested in TensorFlow-Survival-Analysis are comparing it to the libraries listed below

• haiderstats / ISDEvaluation
  Code to pair with the paper "Effective Ways to Build and Evaluate Individual Survival Distributions".
  ☆24Updated 3 years ago
• tonyduan / hte-prediction-rcts
  Predicting treatment effects from RCTs (Circulation: CQO 2019).
  ☆10Updated 2 years ago
• paidamoyo / adversarial_time_to_event
  ICML 2018: "Adversarial Time-to-Event Modeling"
  ☆37Updated 6 years ago
• tum-camp / survival-support-vector-machine
  Fast Training of Support Vector Machines for Survival Analysis
  ☆11Updated 8 years ago
• travisbrady / py-soft-impute
  Python implementation of Mazumder and Hastie's softImpute for matrix completion
  ☆46Updated 9 years ago
• gitter-lab / LPWC
  Lag Penalized Weighted Correlation for Time Series Clustering
  ☆20Updated 4 years ago
• judyboon / BASS
  A Bayesian group factor model with structured sparsity
  ☆20Updated 9 years ago
• dtak / prediction-constrained-topic-models
  Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on…
  ☆12Updated 4 years ago
• greenelab / DAPS
  Denoising Autoencoders for Phenotype Stratification
  ☆41Updated 6 years ago
• wenjiegroup / BiRen
  ☆12Updated 5 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆119Updated 2 years ago
• luslab / MLehealth
  Machine learning on electronic health records
  ☆11Updated 7 years ago
• tansey / hrt
  The holdout randomization test: feature selection using black box predictive models
  ☆22Updated 3 years ago
• KlugerLab / oocPCA
  Out-of-Core Principal Component Analysis
  ☆18Updated 7 years ago
• lrgr / multifactorial-immune-response
  Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features
  ☆14Updated 6 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
• rk2900 / DRSA
  Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementati…
  ☆140Updated 4 years ago
• OmriTreidel / cmprsk
  Regression modeling of sub-distribution functions in competing risks
  ☆14Updated last year
• EpistasisLab / MIMIC_trajectories
  ☆30Updated 7 years ago
• dadaromeo / recsys-hpf
  Movies Recommendation with Hierarchical Poisson Factorization in Edward
  ☆18Updated 7 years ago
• david-cortes / poismf
  (Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
  ☆46Updated 8 months ago
• clinicalml / ContinuousTimeMarkovModel
  Continuous-time Markov model with discrete observations
  ☆11Updated 9 years ago
• ivaleraM / GLFM
  General Latent Feature Modeling for Heterogeneous data
  ☆48Updated 10 months ago
• RigautAntoine / deep-computational-phenotyping-papers
  An attempted survey of the current state of Computational Phenotyping, i.e. the use of deep learning for extracting insight from large El…
  ☆22Updated 8 years ago
• jiagengjie / Estimating-Genetic-Parameters
  ☆10Updated 3 years ago
• hammerlab / stanity
  python convenience functions for working with Stan models (via pystan)
  ☆13Updated 7 years ago
• irashavitt / regularization_learning_networks
  Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440
  ☆35Updated 6 years ago
• itsrainingdata / sparsebn
  Software for learning sparse Bayesian networks
  ☆43Updated 4 years ago
• rohansangave / SurvivalAnalysis
  ☆12Updated 5 years ago
• FrankD / fuser
  Fused lasso for high-dimensional regression over groups
  ☆10Updated 6 years ago