Alternatives and similar repositories for Causal-disco-LLM-imperfect-experts:

Users that are interested in Causal-disco-LLM-imperfect-experts are comparing it to the libraries listed below

• tmlr-group / CausalCOAT
  [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
  ☆19Updated 4 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
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last week
• iLampard / lamp
  PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
  ☆58Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆96Updated last year
• Sungwon-Han / FeatLLM
  ☆31Updated 11 months ago
• zzz47zzz / CET
  [ACL2023] Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
  ☆23Updated last year
• behavioral-data / TSandLanguage
  ☆36Updated 9 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated last year
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆29Updated 10 months ago
• superkaiba / causal-llm-bfs
  Efficient Full Causal Graph Discovery Using Large Language Models
  ☆34Updated last year
• edebrouwer / cfqp
  Deep Counterfactual Prediction with Categorical Backward Variables
  ☆12Updated 2 years ago
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆50Updated 8 months ago
• UCSB-NLP-Chang / llm_uncertainty
  ☆28Updated last year
• changdaeoh / FarconVAE
  Official implementation for KDD'22 paper "Learning Fair Representation via Distributional Contrastive Disentanglement"
  ☆23Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• CausalAILab / NCMCounterfactuals
  ☆12Updated 2 years ago
• yecchen / MIRAI
  Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"
  ☆63Updated 9 months ago
• ZhangTP1996 / TapTap
  ☆64Updated last year
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆16Updated last year
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• Daftstone / CIMI
  ☆26Updated last year
• yanyanSann / PromptTPP
  PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023
  ☆14Updated last year
• anpwu / Awesome-Causal-LLM
  ☆32Updated 6 months ago
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆47Updated last year
• WANGXinyiLinda / concept-based-demonstration-selection
  Offical code of the paper Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Le…
  ☆73Updated last year
• xiaolin-cs / BackTime
  BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
  ☆18Updated last week
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆57Updated last year
• dylan-slack / Tablet
  The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
  ☆21Updated last year