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aaamlp-cn

Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/

app_generative_ai

T81-559: Applications of Generative Artificial Intelligence

awesome-causal-papers

We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)

blackbox-backprop

Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solvers"

book

camml

Causal MML. Learns Causal Bayesian Networks in Java.

casper

[KDD 2023] Discovering Dynamic Causal Space for DAG Structure Learning

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causal-inference-in-python-code

Code for the Book Causal Inference in Python

causal_learning_unknown_interventions

Code for "Neural causal learning from unknown interventions"

causal_reading_group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

causalexplorer_1.5

a Matlab library of computational causal discovery and variable selection algorithms

causality-lab

Causal discovery algorithms and tools for implementing new ones

causality4nlp_papers

A reading list for papers on causality for natural language processing (NLP)

causeandcorrelation

a series of R programs to accompany the book Cause and correlation in biology

cbed

Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.

ccl

Connectivity-contrastive learning (CCL)

cdmir

Causal Discovering, ModelIng and Reasoning

clrdag

R package for likelihood estimation and inference of a directed acyclic graph.

colide

Official implementation of the paper "CoLiDE: Concomitant Linear DAG Estimation".

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

core

Codebase for the paper: "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning"

counterfactual-diagnosis

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cuda-programming-guide-in-chinese

This is a Chinese translation of the CUDA programming guide

dag-eq

Supervised Whole DAG Causal Discovery

dag-gnn

dag_conv_nn

Implementation of Convolutional GNNs for DAGs

daguerreotype

source code of the paper: DAG LEARNING ON THE PERMUTAHEDRON

deeplearning