Pinned Repositories
deep-residual-networks
Deep Residual Learning for Image Recognition
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
python_1d_dft
1D density functional theory code in Python
rbmd-gpu
rbmd on gpu only
scikit-learn
scikit-learn: machine learning in Python
xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
category_encoders
A library of sklearn compatible categorical variable encoders
zhaoteng7912's Repositories
zhaoteng7912/rbmd-gpu
rbmd on gpu only
zhaoteng7912/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
zhaoteng7912/scikit-learn
scikit-learn: machine learning in Python
zhaoteng7912/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
zhaoteng7912/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
zhaoteng7912/category_encoders
A library of sklearn compatible categorical variable encoders
zhaoteng7912/python_1d_dft
1D density functional theory code in Python
zhaoteng7912/deep-residual-networks
Deep Residual Learning for Image Recognition