☆87Apr 3, 2020Updated 6 years ago
Alternatives and similar repositories for deconfounder_tutorial
Users that are interested in deconfounder_tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆23Dec 19, 2022Updated 3 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Jul 10, 2024Updated last year
- ☆10Nov 30, 2022Updated 3 years ago
- Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.☆76May 9, 2025Updated last year
- ☆22Nov 11, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Code to run submissions for the Atlantic Causal Inference Competition☆45Aug 14, 2024Updated last year
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Oct 1, 2017Updated 8 years ago
- Data for and description of the ACIC 2023 data competition☆32Jun 9, 2023Updated 3 years ago
- Variational Factorization Machines☆17Dec 20, 2016Updated 9 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆126Sep 23, 2020Updated 5 years ago
- A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.☆415Sep 10, 2020Updated 5 years ago
- Code for the paper "Optimal Off-Policy Evaluation from Multiple Logging Policies"☆15Jul 17, 2021Updated 4 years ago
- ☆10Jul 13, 2018Updated 7 years ago
- ☆53Feb 15, 2018Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Bernoulli Embeddings for Text☆84Nov 17, 2017Updated 8 years ago
- Code for "Neural causal learning from unknown interventions"☆103Jul 8, 2020Updated 5 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- ☆12Nov 1, 2019Updated 6 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Dec 8, 2022Updated 3 years ago
- ☆182Jul 5, 2019Updated 7 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Nov 2, 2017Updated 8 years ago
- Cyclic Causal Inference☆14Jan 12, 2024Updated 2 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆35Oct 1, 2018Updated 7 years ago
- Longitudinal Mediation with Modified Treatment Policies☆12Sep 26, 2025Updated 9 months ago
- A TensorFlow implementation of the gated variant of PixelCNN (Gated PixelCNN) from "Conditional Image Generation with PixelCNN Decoders" …☆27Feb 26, 2017Updated 9 years ago
- Package for computing causal effects of text (as treatment)☆74May 3, 2022Updated 4 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆42Apr 26, 2022Updated 4 years ago
- ☆11Nov 11, 2016Updated 9 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Nov 29, 2021Updated 4 years ago
- Sample data science projects (machine learning, optimization, business intelligence)☆28Aug 12, 2018Updated 7 years ago
- Learning the Difference that Makes a Difference with Counterfactually-Augmented Data☆171Apr 26, 2021Updated 5 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).☆15Oct 23, 2020Updated 5 years ago
- Repository for "Differentiable Causal Discovery from Interventional Data"☆80Jan 31, 2022Updated 4 years ago
- ☆47Apr 8, 2022Updated 4 years ago
- "Exploratory Data Analysis using Random Forests"☆18Feb 12, 2016Updated 10 years ago
- Short tutorials on the use of machine learning methods for causal inference☆51May 15, 2026Updated last month
- Counterfactual Regression☆320Dec 7, 2022Updated 3 years ago
- Sentence specificity prediction☆27Jan 31, 2019Updated 7 years ago