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kirchho's Projects

awesome-quant icon awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

dawp icon dawp

Derivatives Analytics with Python (Wiley Finance)

hyperopt icon hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

kaggle_allstate icon kaggle_allstate

Repository with files somehow relevant to the Kaggle competition https://www.kaggle.com/c/allstate-claims-severity

libffi icon libffi

A portable foreign-function interface library.

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.

lvvd icon lvvd

Listed Volatility and Variance Derivatives (Wiley Finance)

mashinnoye-obucheniye icon mashinnoye-obucheniye

:books: Специализация «Машинное обучение и анализ данных»

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

predictive_imputer icon predictive_imputer

Predictive imputation of missing values with sklearn interface. This is a simple implementation of the idea presented in the MissForest R package.

py4fi icon py4fi

Python for Finance (O'Reilly)

pydlon15 icon pydlon15

Open Source Tools for Financial Time Series Analysis and Visualization

python_intro icon python_intro

IPython notebooks in Russian. Introduction to Python, basic algorithms and data structures

qllib icon qllib

QL.lua library for Quik. Fork from SourceForge

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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