Pinned Repositories
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
causallift
CausalLift: Python package for Uplift Modeling in real-world business
Data-Science-Notes
数据科学的笔记以及资料搜集
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
ExperimentData
github_git_learning
a demo repository for learning git
grf
Generalized Random Forests
chaiyunhai's Repositories
chaiyunhai/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
chaiyunhai/causallift
CausalLift: Python package for Uplift Modeling in real-world business
chaiyunhai/Data-Science-Notes
数据科学的笔记以及资料搜集
chaiyunhai/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
chaiyunhai/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
chaiyunhai/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
chaiyunhai/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
chaiyunhai/ExperimentData
chaiyunhai/github_git_learning
a demo repository for learning git
chaiyunhai/grf
Generalized Random Forests
chaiyunhai/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
chaiyunhai/hello-world
the first trip
chaiyunhai/kubeflow-manifests
kubeflow国内一键安装文件
chaiyunhai/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
chaiyunhai/PythonLearningNotes
personal python learning notes
chaiyunhai/QuantEcon.applications
A repository that houses example code, applications and teaching material related to QuantEcon
chaiyunhai/shap
A game theoretic approach to explain the output of any machine learning model.
chaiyunhai/tutorials
CatBoost tutorials repository
chaiyunhai/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.