cuiruifei Goto Github PK

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

causalgan

causalimpact

An R package for causal inference in time series

causality

Kaggle's Causality Challenge Solution for team FirfiD

causalmissingvalues

Causal discovery from mixed data with missing values.

causalml

Uplift modeling and causal inference with machine learning algorithms

copulafactormodel

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

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.

hetcorpc

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

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