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
  ☆741Updated 2 years ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆478Updated 2 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)
  ☆94Updated 2 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆205Updated 9 months ago
• anpwu / Causal4Application
  ☆25Updated 3 years ago
• anpwu / DeR-CFR
  ☆22Updated last week
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 years ago
• claudiashi57 / dragonnet
  ☆285Updated 3 years ago
• HeYueThu / CausPref
  Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)
  ☆20Updated 3 years ago
• causal-machine-learning-lab / mliv
  ☆29Updated 3 years ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆108Updated 4 years 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"
  ☆19Updated 2 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆76Updated 4 years ago
• octeufer / Adversarial-Balancing-based-representation-learning-for-Causal-Effect-Inference
  Causal Inference
  ☆11Updated 5 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
  ☆33Updated 4 months ago
• imirzadeh / awesome-causal-inference
  A (concise) curated list of awesome Causal Inference resources.
  ☆244Updated 3 years ago
• chrisjtan / counter
  Counterfactual Explainable Recommendation
  ☆49Updated 3 years ago
• tsinghua-fib-lab / Causal-Recommender-Systems
  An index of causal inference based recommendation algorithms (TOIS).
  ☆61Updated 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
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆89Updated 3 years ago
• RUCAIBox / Negative-Sampling-Paper
  This repository collects 100 papers related to negative sampling methods.
  ☆198Updated 2 years ago
• hlzhang109 / TransTEE
  ☆35Updated last month
• 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
• Jhy1993 / Awesome-GNN-Recommendation
  Graph Neural Network
  ☆267Updated 4 years ago
• huawei-noah / trustworthyAI
  Trustworthy AI related projects
  ☆1,077Updated 2 months ago
• yzhao062 / data-mining-conferences
  Ranking, acceptance rate, deadline, and publication tips
  ☆336Updated 4 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆341Updated last year
• fishmoon1234 / DAG-GNN
  ☆315Updated 3 years ago