Alternatives and similar repositories for How-to-PhD

Users that are interested in How-to-PhD are comparing it to the libraries listed below

• XiaochenWang-PSU / MedHMP
  Source codes of the paper "Hierarchical Pretraining on Multimodal Electronic Health Records".
  ☆17Updated last year
• som-shahlab / hf_ehr
  Training HuggingFace models on EHR data
  ☆25Updated this week
• DDVD233 / CLIMB
  ☆28Updated 2 months ago
• mmcdermott / MEDS_Tabular_AutoML
  Limited automatic tabular ML pipelines for generic MEDS datasets.
  ☆17Updated 3 weeks ago
• pliang279 / FactorCL
  [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
  ☆67Updated last year
• dustn1259 / EHRCon
  Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
  ☆21Updated 9 months ago
• VectorInstitute / odyssey
  A toolkit for developing foundation models using Electronic Health Record (EHR) data.
  ☆35Updated this week
• XZhang97666 / MultimodalMIMIC
  ☆33Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• sczzz3 / EHRDiff
  An offical implementation of EHRDiff [TMLR]
  ☆25Updated 11 months ago
• mmcdermott / EventStreamGPT
  Dataset and modelling infrastructure for modelling "event streams": sequences of continuous time, multivariate events with complex intern…
  ☆112Updated 2 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆29Updated last year
• Wuyxin / DISC
  Discover and Cure: Concept-aware Mitigation of Spurious Correlation (ICML 2023)
  ☆41Updated last year
• zzachw / llemr
  NeurIPS'24 DB (Spotlight) | Instruction Tuning Large Language Models to Understand Electronic Health Records
  ☆36Updated 5 months ago
• AITRICS / Medical_Tri_Modal_Pilot
  Medical multi-modal learning with missing modality data (MLHC 2023)
  ☆13Updated last year
• vanderschaarlab / Datagnosis
  A Data-Centric library providing a unified interface for state-of-the-art methods for hardness characterisation of data points.
  ☆24Updated 3 months ago
• aaronhan223 / FuseMoE
  Implementation of FuseMoE for FlexiModal Fusion, NeurIPS'24
  ☆22Updated 2 months ago
• ml-stat-Sustech / conformal_prediction_via_label_ranking
  [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking
  ☆12Updated 11 months ago
• ritaranx / RAM-EHR
  [ACL 2024] This is the code for our paper ”RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records“.
  ☆36Updated 8 months ago
• wbw520 / DiReCT
  DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models (NeurIPS 2024 D&B Track)
  ☆19Updated 3 months ago
• jjcherian / conformal-safety
  ☆26Updated 6 months ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆55Updated 10 months ago
• hoon9405 / UniHPF
  UniHPF : Universal Healthcare Predictive Framework with Zero Domain Knowledge
  ☆13Updated last year
• Varal7 / conformal-language-modeling
  Conformal Language Modeling
  ☆29Updated last year
• divyam3897 / I2M2
  I2M2: Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning (NeurIPS 2024)
  ☆19Updated 7 months ago
• RyanWangZf / MediTab
  The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"
  ☆20Updated last year
• UNITES-Lab / Flex-MoE
  [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"
  ☆52Updated 7 months ago
• RyanWangZf / PromptEHR
  EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
  ☆29Updated last year
• pliang279 / PID
  [NeurIPS 2023, ICMI 2023] Quantifying & Modeling Multimodal Interactions
  ☆75Updated 7 months ago
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago