Alternatives and similar repositories for Awesome-Causality-and-ML-Papers

Users that are interested in Awesome-Causality-and-ML-Papers are comparing it to the libraries listed below

• 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)
  ☆98Updated 2 years ago
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆20Updated 2 years ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆174Updated last year
• anpwu / Causal4Application
  ☆26Updated 3 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆208Updated 11 months ago
• hedongyan / awesome-causality-identification
  ☆36Updated 3 months ago
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆120Updated 6 months ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆31Updated 3 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated 2 years ago
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• fulifeng / Causal_Reading_Group
  We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…
  ☆515Updated 2 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆34Updated 4 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆243Updated 6 months ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆99Updated last year
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆77Updated 4 years ago
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆33Updated 5 months ago
• aaronwtr / cfrnet-reproduction
  Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…
  ☆18Updated 3 years ago
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆67Updated last year
• hlzhang109 / TransTEE
  ☆36Updated 4 months ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆137Updated 2 years ago
• EDAPINENUT / EDTPP
  ☆16Updated 3 years ago
• anpwu / DeR-CFR
  ☆23Updated 2 months ago
• DMIRLAB-Group / CDMIR
  ☆36Updated 3 weeks ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆104Updated 3 years ago
• Osier-Yi / SITE
  ☆59Updated 3 years ago
• fishmoon1234 / DAG-GNN
  ☆319Updated 4 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆66Updated 5 years ago
• CharonWangg / Awesome-Causal-Discovery
  An awesome list of Causality and Machine Learning related papers, books and other resources.
  ☆12Updated 2 years ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆62Updated 10 months ago