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a-li-peng's Projects

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

ml-fraud-detection icon ml-fraud-detection

Credit card fraud detection through logistic regression, k-means, and deep learning.

mlens icon mlens

ML-Ensemble – high performance ensemble learning

mlls2015 icon mlls2015

Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015

openne icon openne

An Open-Source Package for Network Embedding (NE)

prim icon prim

Patient Rule Induction Method (PRIM) for Python

prml icon prml

PRML algorithms implemented in Python

pu-learning icon pu-learning

Positive and unlabeled learning wrappers for scikit-learn

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

qix icon qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

reportgen icon reportgen

reportgen is a Python library for creating and updating analysis report.

scikit-feature icon scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

skyline icon skyline

It'll detect your anomalies! Part of the Kale stack.

survival_analysis icon survival_analysis

Survival Analysis with non-parametric, semi-parametric, and parametric models

toad icon toad

ESC Team's scorecard tools

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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