Alternatives and similar repositories for SMLW-Causality-Tutorial

Users that are interested in SMLW-Causality-Tutorial are comparing it to the libraries listed below

• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆84Updated last year
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆28Updated 2 years ago
• msesia / chr
  Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems
  ☆22Updated 3 years ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆66Updated 5 months ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• juangamella / causal-chamber
  Public dataset repository for the Causal Chamber Project
  ☆42Updated 3 weeks ago
• clarafy / conformal-for-design
  ☆30Updated 2 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆75Updated 9 months ago
• zecevic-matej / Not-All-Causal-Inference-is-the-Same
  Official code repository to the corresponding paper.
  ☆29Updated last year
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆59Updated last year
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 11 months ago
• neildhir / DCBO
  Dynamic causal Bayesian optimisation
  ☆40Updated 2 years ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆87Updated 3 years ago
• psanch21 / causal-flows
  ☆51Updated last year
• jjcherian / conditional-conformal
  A package for conformal prediction with conditional guarantees.
  ☆61Updated 5 months ago
• msesia / arc
  Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
  ☆31Updated 2 years ago
• soroushzargar / DAPS
  Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"
  ☆15Updated 2 years ago
• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆50Updated last year
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• automl / PFNs4BO
  The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization
  ☆31Updated last year
• OxfordML / bayesquad
  Library for Bayesian Quadrature
  ☆32Updated 6 years ago
• dpernes / deepsets-digitsum
  Sum of handwritten digits using Deep Sets, implemented in PyTorch.
  ☆21Updated 6 years ago
• psanch21 / VACA
  ☆23Updated 3 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated 2 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 3 years ago
• wangyongjie-ntu / CFAI
  A collection of algorithms of counterfactual explanations.
  ☆50Updated 4 years ago
• ProgBelarus / MultiValidPrediction
  ☆14Updated 3 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆42Updated 2 months ago
• aangelopoulos / rcps
  Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"
  ☆85Updated last year