juangamella / causal-chamberLinks
Public dataset repository for the Causal Chamber Project
☆50Updated 2 weeks ago
Alternatives and similar repositories for causal-chamber
Users that are interested in causal-chamber are comparing it to the libraries listed below
Sorting:
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆68Updated 9 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- ☆155Updated 3 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆51Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆80Updated 4 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆86Updated last year
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆51Updated 2 months ago
- Code for the causal benchmark library☆12Updated 8 months ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆19Updated 8 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆264Updated 2 months ago
- An experimental language for causal reasoning☆237Updated last month
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆38Updated 4 years ago
- ☆51Updated last year
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆63Updated 2 weeks ago
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- CSuite: A Suite of Benchmark Datasets for Causality☆78Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated last month
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- Uncertainty quantification with PyTorch☆376Updated last month
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- [Experimental] Global causal discovery algorithms☆109Updated last week
- Scalable open-source software to run, develop, and benchmark causal discovery algorithms☆74Updated this week
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Our maintained PFN repository. Come here to train SOTA PFNs.☆119Updated 2 months ago
- ☆11Updated 3 years ago