Alternatives and similar repositories for CCL:

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

• ymy4323460 / CaSN
  ☆12Updated last year
• KerryDRX / EvidentialADA
  Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]
  ☆18Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆47Updated last year
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆23Updated 5 months ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆22Updated last year
• gustmd0121 / Time_is_not_Enough
  Official source code for Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
  ☆10Updated 4 months ago
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last week
• siamakz / iVAE
  VAEs and nonlinear ICA: a unifying framework
  ☆47Updated 5 years ago
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆29Updated last year
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆20Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• yannadani / vcn_pytorch
  Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"
  ☆17Updated 3 years ago
• hongmingli1995 / CR-VAE
  ☆26Updated 2 years ago
• eai-lab / CAFO
  [KDD 2024] CAFO: Feature-Centric Explanation on Time Series Classification
  ☆14Updated 10 months ago
• nik-dim / pamal
  Official repository of "Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models" [ICML 2023]
  ☆16Updated 3 months ago
• Akomand / SCM-VAE
  Code Repository for SCM-VAE (IEEE Big Data)
  ☆10Updated 2 years ago
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆35Updated 2 years ago
• XTxiatong / PaperArxiv
  This is an Uncertainty Study Arxiv
  ☆11Updated last month
• CausalRivers / causalrivers
  The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
  ☆13Updated 3 weeks ago
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆49Updated 10 months ago
• MaHuanAAA / MoNIG
  Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.
  ☆41Updated last year
• XJTU-XGU / ARPM
  Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
  ☆13Updated 10 months ago
• akekic / causal-component-analysis
  ☆25Updated last year
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• edebrouwer / cfqp
  Deep Counterfactual Prediction with Categorical Backward Variables
  ☆12Updated 2 years ago
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆30Updated 2 years ago
• Arthur-Null / SRD
  Official pytorch implementation of Spatial Relation Decomposition method (AAAI 23)
  ☆23Updated last year
• lccurious / iDAG
  ☆14Updated last year