Alternatives and similar repositories for chatgpt-causality-pairs:

Users that are interested in chatgpt-causality-pairs are comparing it to the libraries listed below

• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆42Updated last month
• bhaweshiitk / ConformalLLM
  Extending Conformal Prediction to LLMs
  ☆66Updated 10 months ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆67Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆62Updated 2 months ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆128Updated this week
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆74Updated 4 years ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 2 months ago
• causalNLP / cladder
  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.
  ☆115Updated 10 months ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 2 years ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆36Updated 2 years ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆96Updated last year
• zecevic-matej / Not-All-Causal-Inference-is-the-Same
  Official code repository to the corresponding paper.
  ☆29Updated last year
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• nke001 / causal_learning_unknown_interventions
  Code for "Neural causal learning from unknown interventions"
  ☆101Updated 4 years ago
• yixinwang / representation-causal-public
  ☆44Updated 3 years ago
• causalNLP / causal-cite
  Codes for the paper "CausalCite: A Causal Formulation of Paper Citations" (2023)
  ☆16Updated last year
• isgibbs / DtACI
  ☆17Updated 2 weeks ago
• vveitch / causal-text-embeddings-tf2
  Tensorflow 2 implementation of Causal-BERT
  ☆71Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆54Updated 8 months ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆54Updated this week
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆82Updated last year
• XingqiaoWang / DeepCausalPV-master
  ☆18Updated 3 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
• ignavierng / notears-tensorflow
  Reimplementation of NOTEARS in Tensorflow
  ☆35Updated 2 years ago
• nanavatirutu / CausalBandits
  Project on Causal Machine learning CS 7290
  ☆16Updated 5 years ago
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆51Updated last year
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆34Updated 4 months ago
• rpryzant / causal-bert-pytorch
  Pytorch implementation of "Adapting Text Embeddings for Causal Inference"
  ☆89Updated 3 years ago