Pinned Repositories
App_test
streamlit example
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
CPM_materials
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15个章节，近20万字。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
GBD_yh_test
interpretable-ml-book
Book about interpretable machine learning
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
MachineLearning
周志华《机器学习》
MIML
Library for Multi-instance Multi-label learning
Weighted-ELM
Weighted ELM Codes for Binary Problems
yanghongXXL's Repositories
yanghongXXL/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15个章节，近20万字。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
yanghongXXL/GBD_yh_test
yanghongXXL/Weighted-ELM
Weighted ELM Codes for Binary Problems
yanghongXXL/App_test
streamlit example
yanghongXXL/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
yanghongXXL/CPM_materials
yanghongXXL/interpretable-ml-book
Book about interpretable machine learning
yanghongXXL/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
yanghongXXL/MachineLearning
周志华《机器学习》
yanghongXXL/MIML
Library for Multi-instance Multi-label learning
yanghongXXL/MLLWSE
yanghongXXL/R_machine_learning
yanghongXXL/webPPT
yanghongXXL/yanghongXXL
Config files for my GitHub profile.