Alternatives and similar repositories for CCL

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

• layer6ai-labs / WinIT
  Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
  ☆27Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆26Updated 2 months ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated last month
• gustmd0121 / Time_is_not_Enough
  Official source code for Time is Not Enough: Time-Frequency based Explanation for Time-Series Black-Box Models
  ☆10Updated 7 months ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• vios-s / DiffAN
  Diffusion Models for Causal Discovery
  ☆85Updated 2 years ago
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆16Updated last year
• cchallu / dghl
  ☆28Updated 3 years ago
• clear-nus / NCDSSM
  PyTorch implementation of the NCDSSM models presented in the ICML '23 paper "Neural Continuous-Discrete State Space Models for Irregularl…
  ☆25Updated 2 years ago
• JurijsNazarovs / panel_me_ode
  Official repository of the paper "A Variational Approximation for Analyzing the Dynamics of Panel Data". Mixed Effect Neural ODE. UAI 202…
  ☆8Updated 3 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆35Updated 2 years ago
• jc-audet / WOODS
  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks
  ☆69Updated 2 years ago
• xuanmay2701 / ppsn
  Perceptual Position-aware Shapelet Network, accepted by ECML PKDD 2022
  ☆11Updated 3 years ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆23Updated last year
• XintianHan / Survival-MDN
  ☆13Updated 3 years ago
• namratadeka / circe
  Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)
  ☆21Updated 2 years ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆58Updated 2 years ago
• suinleelab / vit-shapley
  ☆34Updated 11 months ago
• Wang-ML-Lab / VDI
  [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  ☆38Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆48Updated last year
• zichuan-liu / TimeXplusplus
  [ICML'24] Official PyTorch Implementation of TimeX++
  ☆25Updated 8 months ago
• mertyg / beyond-confidence-atypicality
  Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
  ☆13Updated last year
• snowood1 / wenn
  Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)
  ☆16Updated 3 years ago
• ahmedmalaa / discriminative-jackknife
  Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.
  ☆9Updated 4 years ago
• mengcz13 / IJCAI2022_ST-KMRN
  Official implementation of "Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data".
  ☆10Updated 2 years ago
• BoChenGroup / SawETM
  The demo for "Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network" in ICML 2021
  ☆11Updated 3 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆70Updated last year
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• lingbai-kong / CausalFormer
  PyTorch Implementation of CausalFormer: An Interpretable Transformer for Temporal Causal Discovery
  ☆44Updated 3 months ago