larslorch / avici

Related projects: ⓘ

• larslorch / dibs
  DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
  ☆44Updated 6 months ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆78Updated 5 months ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆78Updated 2 years ago
• slachapelle / dcdi
  Repository for "Differentiable Causal Discovery from Interventional Data"
  ☆69Updated 2 years ago
• piomonti / carefl
  Code for "Causal autoregressive flows" - AISTATS, 2021
  ☆44Updated 3 years ago
• sharpenb / Differentiable-DAG-Sampling
  Differentiable DAG Sampling (ICLR 2022)
  ☆35Updated 2 years ago
• akekic / causal-component-analysis
  ☆21Updated 9 months ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆16Updated 8 months ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆46Updated 6 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆68Updated 3 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆25Updated last year
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆55Updated last year
• ElementAI / causal_discovery_toolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆29Updated 4 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆23Updated 2 years ago
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆19Updated last year
• yixinwang / representation-causal-public
  ☆41Updated 2 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆32Updated 3 years ago
• yannadani / vcn_pytorch
  Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"
  ☆16Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆22Updated last year
• phlippe / CITRIS
  Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…
  ☆47Updated last year
• psanch21 / causal-flows
  ☆46Updated last month
• ilkhem / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆27Updated 4 years ago
• runame / laplace-redux
  Laplace Redux -- Effortless Bayesian Deep Learning
  ☆35Updated last year
• ratschlab / repulsive_ensembles
  Repo for our paper "Repulsive deep ensembles are Bayesian"
  ☆19Updated 2 years ago
• larslorch / stadion
  Causal Modeling with Stationary Diffusions, AISTATS 2024
  ☆12Updated 2 months ago
• charmlab / recourse
  Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831
  ☆34Updated last year
• juangamella / causal-chamber
  Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…
  ☆20Updated this week
• vislearn / GIN
  Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)
  ☆31Updated 2 years ago
• Scriddie / Varsortability
  Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…
  ☆15Updated 10 months ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆25Updated last year