Alternatives and similar repositories for Causal_Reading_Group

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

• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆747Updated 3 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆479Updated 2 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years 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)
  ☆97Updated 2 years ago
• causal-machine-learning-lab / mliv
  ☆31Updated 3 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆209Updated 11 months ago
• anpwu / Causal4Application
  ☆26Updated 3 years ago
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆77Updated 4 years ago
• ContrastiveSR / Contrastive_Learning_Papers
  A list of contrastive Learning papers
  ☆308Updated 3 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆112Updated 4 years ago
• claudiashi57 / dragonnet
  ☆287Updated 3 years ago
• anpwu / DeR-CFR
  ☆23Updated 2 months ago
• Osier-Yi / SITE
  ☆59Updated 3 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
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆250Updated 3 years ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,095Updated last month
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆93Updated 3 years ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆20Updated 3 years ago
• fishmoon1234 / DAG-GNN
  ☆317Updated 4 years ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆34Updated 6 months ago
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆664Updated last year
• JackHCC / Awesome-Uplift-Model
  🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
  ☆149Updated 2 years ago
• tsinghua-fib-lab / Causal-Recommender-Systems
  An index of causal inference based recommendation algorithms (TOIS).
  ☆62Updated last year
• Ethan00Si / Instrumental-variables-for-recommendation
  The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"
  ☆31Updated 2 years ago
• yzhao062 / data-mining-conferences
  Ranking, acceptance rate, deadline, and publication tips
  ☆338Updated 4 years ago
• d909b / perfect_match
  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
  ☆131Updated 2 years ago
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆50Updated 4 years ago
• oklen / PEVAE
  Offical Code for "PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation."
  ☆12Updated 3 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago