Alternatives and similar repositories for CausalCOAT

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

• StephLong614 / Causal-disco-LLM-imperfect-experts
  ☆17Updated last year
• behavioral-data / TSandLanguage
  ☆44Updated last year
• anpwu / Awesome-Causal-LLM
  ☆39Updated 11 months ago
• ant-research / EasyTemporalPointProcess
  EasyTPP: Towards Open Benchmarking Temporal Point Processes
  ☆319Updated 2 months ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆161Updated last year
• patrickrchao / DiffusionBasedCausalModels
  ☆27Updated 6 months ago
• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆93Updated 2 years ago
• superkaiba / causal-llm-bfs
  Efficient Full Causal Graph Discovery Using Large Language Models
  ☆41Updated last year
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆61Updated last year
• causal-machine-learning-lab / Awesome-Causal-LLM
  ☆34Updated 11 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆58Updated last year
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆115Updated 3 months ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆37Updated 3 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆230Updated 3 months ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆67Updated 2 years ago
• Lancelot39 / Causal-Copilot
  ☆144Updated last month
• iLampard / lamp
  PyTorch implementation of the paper "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning", NeurIPS 2023
  ☆61Updated last year
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• anpwu / Causal4Application
  ☆25Updated 3 years 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
• jaehyun513 / OCTree
  Official implementation of Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning (NeurIPS 2024).
  ☆24Updated 7 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 8 months ago
• ZhangTP1996 / TapTap
  ☆67Updated 2 years ago
• datamllab / ltsm
  LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting
  ☆103Updated last month
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 5 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆59Updated 2 years ago
• CausalDM / Causal-Decision-Making
  ☆37Updated 4 months ago
• jarrycyx / UNN
  Causal Neural Nerwork
  ☆133Updated 3 weeks ago