海杰's starred repositories

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

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Monotonic-WOE-Binning-Algorithm

Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)

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sklearn2pmml

Python library for converting Scikit-Learn pipelines to PMML

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lifelines

Survival analysis in Python

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uncertainty-calibration

A collection of research and application papers of (uncertainty) calibration techniques.

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xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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neo4j

Graphs for Everyone

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tsfresh

Automatic extraction of relevant features from time series:

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word2vec

Automatically exported from code.google.com/p/word2vec

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GraphEmbedding

Implementation and experiments of graph embedding algorithms.

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struc2vec

This repository provides a reference implementation of struc2vec.

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deepwalk

DeepWalk - Deep Learning for Graphs

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item2vec

Implement item2vec algorithm

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CHAID

A python implementation of the common CHAID algorithm

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pylouvain

A Python implementation of the Louvain method to find communities in large networks

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skope-rules

machine learning with logical rules in Python

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networkx

Network Analysis in Python

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gensim

Topic Modelling for Humans

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featuretools

An open source python library for automated feature engineering

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GBST

GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost

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optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

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XlsxWriter

A Python module for creating Excel XLSX files.

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PRIM

Patient Rule Induction Method (PRIM) for Python

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LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

License:MITStargazers:3069Issues:0Issues:0

python-louvain

Louvain Community Detection

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spark

Apache Spark - A unified analytics engine for large-scale data processing

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nlp-competitions-list-review

复盘所有NLP比赛的TOP方案,只关注NLP比赛,持续更新中!

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HanLP

Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

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numpy-ml

Machine learning, in numpy

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