cuiruifei

CopulaFactorModel

Inference for Gaussian copula factor models and its application to causal discovery.

CausalMissingValues

Causal discovery from mixed data with missing values.

Agriculture_KnowledgeGraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

HetcorPC

The Hetcor PC algorithm for causal discovery from mixed continuous and ordinal data.

CausalGAN

CausalImpact

An R package for causal inference in time series

causality

Kaggle's Causality Challenge Solution for team FirfiD

causalml

Uplift modeling and causal inference with machine learning algorithms

cuiruifei.github.io

My personal website.

Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

kglib

Grakn Knowledge Graph Library (ML R&D)

pdf

数据科学方向 课件&资料

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

zhusuan

A Library for Bayesian Deep Learning, Generative Models, Based on Tensorflow