DMIRLAB

SASA

SADGA

The PyTorch implementation of paper SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. (NeurIPS 2021)

CDMIR

Causal Discovering, ModelIng and Reasoning

DSAN

DSR

The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)

CANM

This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Causal Discovery with Cascade Nonlinear Additive Noise Models. IJCAI 2019."

SASA-pytorch

GCA

MGNN

causal-dmir

SHP

The python implementation of paper Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences (IJCAI 2023)

TEA

REST

SCI

SSD

CausalDiscoveryBasedOnEntropy

CCSL

IDEA

Dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

DMIR_REC

HGCRM

LASER

SASA_CNN_Extractor

SASA with CNN featrue extractor

tensorflow-vs-pytorch

Guide for both TensorFlow and PyTorch in comparative way

FOM

IDOL

PBSCM

The Python implementation of paper Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. (AAAI 2024)

Shared_SSM

Shared State Space Model

SLMGAE

TNet