Alternatives and similar repositories for CausalRepID

Users that are interested in CausalRepID are comparing it to the libraries listed below

• patrickrchao / DiffusionBasedCausalModels
  ☆30Updated 8 months ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆90Updated 2 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆88Updated last year
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆65Updated 3 years ago
• psanch21 / causal-flows
  ☆52Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆59Updated 2 years ago
• ysharma1126 / ssl_identifiability
  Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
  ☆54Updated 3 years ago
• juangamella / aicp
  Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…
  ☆21Updated 2 years ago
• lazaratan / dyn-gfn
  DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks
  ☆58Updated 3 months ago
• TURuibo / CauTabBench
  ☆13Updated 7 months ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆13Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 3 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 3 years ago
• vios-s / Diff-SCM
  Code for Diff-SCM paper
  ☆100Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆31Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• CausalAILab / NCMCounterfactuals
  ☆14Updated 2 years ago
• boschresearch / GMM_DAE
  ☆20Updated 4 years ago
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆73Updated 2 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆25Updated last year
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 3 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆35Updated 2 years ago
• sjunhongshen / ORCA
  Official implementation of ORCA proposed in the paper "Cross-Modal Fine-Tuning: Align then Refine"
  ☆74Updated last year
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 10 months ago
• ifiaposto / Distance_Aware_Bottleneck
  Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024
  ☆28Updated last year
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆31Updated 3 years ago
• zhougroup / BAM
  Bayesian Attention Modules
  ☆36Updated 5 years ago
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆49Updated 6 years ago