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Sergey Brazhnik's Projects

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

mkl-dnn icon mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

pasport_eye icon pasport_eye

Распознавание паспортов РФ с помощью opencv и tesseract

pypinfo icon pypinfo

Easily view PyPI download statistics via Google's BigQuery.

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

xgboost icon 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, Flink and DataFlow

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