Alternatives and similar repositories for CF

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

• QingyuZhao / BR-Net
  ☆46Updated 4 years ago
• jcreinhold / counterfactualms
  counterfactuals for magnetic resonance images of multiple sclerosis
  ☆26Updated 4 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆70Updated 6 years ago
• ahmedmalaa / AutoPrognosis
  Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.
  ☆56Updated 4 years ago
• landiisotta / convae_architecture
  ☆41Updated 3 years ago
• preprocessed-connectomes-project / adhd200
  ADHD200 preprocessed
  ☆19Updated 4 years ago
• kamilest / brain-age-gnn
  Implementation for Stankevičiūtė et al. "Population graph GNNs for brain age prediction". GRL+ Workshop, ICML 2020.
  ☆40Updated 3 months ago
• CancerAI-CL / IntegrativeVAEs
  Variational autoencoders for cancer data integration
  ☆27Updated 3 years ago
• broadinstitute / ml4h
  ☆143Updated this week
• rmarkello / snfpy
  Similarity network fusion in Python
  ☆84Updated 5 years ago
• yandexdataschool / roc_comparison
  The fast version of DeLong's method for computing the covariance of unadjusted AUC.
  ☆160Updated this week
• rvinas / GTEx-imputation
  Gene Expression Imputation with Generative Adversarial Imputation Nets
  ☆12Updated 2 years ago
• NiftyTorch / NiftyTorch.doc
  A Python API for deploying deep neural networks for Neuroimaging research. Powered by IMG at Stevens Neuroimaging and Informatics Institu…
  ☆37Updated 4 years ago
• basiralab / HCAE
  HCAE (HyperConnectome AutoEncoder) for brain state identification.
  ☆16Updated 4 years ago
• clinicalml / deepDiagnosis
  A torch package for learning diagnosis models from temporal patient data.
  ☆116Updated 8 years ago
• zzzace2000 / mimic-preprocess
  MIMIC preprocessing for the ICML paper "Dynamic Measurement Scheduling for Event Forecasting Using Deep RL"
  ☆19Updated 6 years ago
• chiragnagpal / deep_cox_mixtures
  Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
  ☆29Updated 2 years ago
• sarslancs / graph_saliency_maps
  Graph saliency maps through spectral convolutional networks for brain mapping
  ☆33Updated 6 years ago
• tauhidstanford / Feature-augmented-embedding-machine
  [Nature Biomedical Engineering, 2020] A broadly applicable algorithm for dimensionality reduction to reveal underlying trends in a range …
  ☆17Updated 3 years ago
• sylvchev / beetl-competition
  Code helper for BEETL competition
  ☆11Updated 4 years ago
• abidlabs / contrastive
  Contrastive PCA
  ☆222Updated 11 months ago
• zhangyu2ustc / gcn_tutorial_test
  ☆27Updated 2 years ago
• BorgwardtLab / fMRI_Cubical_Persistence
  Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
  ☆25Updated 4 years ago
• mostafaalishahi / eICU_Benchmark
  ☆40Updated 3 years ago
• PathologyDataScience / SurvivalNet
  Deep learning survival models
  ☆118Updated 2 years ago
• vipul105 / Alzheimers_Disease_Progression
  Code for analysis of ADNI data
  ☆38Updated 2 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• LambertLeong / AUC_NRI_IDI_python_functions
  Custom python functions to help you further analyse machine learning models and diagnostic test
  ☆17Updated 2 months ago
• HazyResearch / ukb-cardiac-mri
  Weakly Supervised MRI Series Classification for the UK Biobank
  ☆26Updated 6 years ago