aalmodovares / DeCaFlowLinks
This repository provides an implementation of DeCaFlow, designed for ease of integration and usability. The codebase is clean, concise, and suitable for both research and practical applications.
☆21Updated 4 months ago
Alternatives and similar repositories for DeCaFlow
Users that are interested in DeCaFlow are comparing it to the libraries listed below
Sorting:
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- ☆51Updated last year
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆19Updated 6 months ago
- Structured Neural Networks☆15Updated last year
- Our maintained PFN repository. Come here to train SOTA PFNs.☆105Updated this week
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆163Updated last year
- ☆17Updated 5 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆232Updated 10 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- ☆65Updated 3 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023☆17Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 7 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆260Updated 2 weeks ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- CSuite: A Suite of Benchmark Datasets for Causality☆75Updated 2 years ago
- A companion for the Causal Artificial Intelligence book.☆13Updated 10 months ago
- Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.☆24Updated 2 years ago
- Methods for online conformal prediction.☆116Updated 4 months ago
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆54Updated last month
- Extending Conformal Prediction to LLMs☆67Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Public dataset repository for the Causal Chamber Project☆45Updated 2 months ago
- ☆63Updated 5 months ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 3 months ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆23Updated 4 months ago