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xgboost

Here are 1,039 public repositories matching this topic...

dmlc / xgboost

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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

distributed-systems machine-learning xgboost gbdt gbm gbrt

Updated Sep 18, 2020
C++

EpistasisLab / tpot

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

python data-science machine-learning automation random-forest scikit-learn model-selection xgboost hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning

Updated Sep 15, 2020
Python

MingchaoZhu / DeepLearning

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Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

python machine-learning deep-learning xgboost ensemble-learning bayesian regularization

Updated Jun 23, 2020
Python

jolibrain / deepdetect

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Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

machine-learning caffe deep-learning server tensorflow gpu rest-api xgboost image-classification object-detection dlib image-segmentation tsne neural-nets deepdetect caffe2 ncnn detectron

Updated Sep 18, 2020
C++

TeamHG-Memex / eli5

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A library for debugging/inspecting machine learning classifiers and explaining their predictions

python nlp data-science machine-learning scikit-learn xgboost lightgbm inspection explanation crfsuite

Updated Jul 23, 2020
Jupyter Notebook

mars-project / mars

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Open

Support Series.median()

1

wjsi commented Jun 23, 2020

Support Series.median()

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good first issue mod: dataframe type: feature

Open

Support pd.to_numeric

Open

Support {DataFrame,Series}.equals

1

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szilard / benchm-ml

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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine

Updated Aug 19, 2019
R

Trusted-AI / adversarial-robustness-toolbox

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

python deep-neural-networks attack scikit-learn extraction artificial-intelligence xgboost lightgbm logistic-regression support-vector-machine decision-trees ibm-research poisoning adversarial-machine-learning catboost ibm-research-ai gradient-boosted-trees defense-methods codait trusted-ai

Updated Sep 17, 2020
Python

minimaxir / automl-gs

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Provide an input CSV and a target field to predict, generate a model + code to run it.

python machine-learning tensorflow keras xgboost automl

Updated Oct 22, 2019
Python

BayesWitnesses / m2cgen

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Open

add option to save generated code into file

8

StrikerRUS commented Oct 18, 2019

I'm sorry if I missed this functionality, but CLI version hasn't it for sure (I saw the related code only in generate_code_examples.py). I guess it will be very useful to eliminate copy-paste phase, especially for large models.

Of course, piping is a solution, but not for development in Jupyter Notebook, for example.

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enhancement good first issue

Open

m2cgen output for xgboost with binary:logistic objective returns raw (not transformed) scores

4

ClimbsRocks / auto_ml

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[UNMAINTAINED] Automated machine learning for analytics & production

python data-science machine-learning deep-learning analytics tensorflow scikit-learn keras artificial-intelligence xgboost hyperparameter-optimization lightgbm machine-learning-library deeplearning production-ready feature-engineering machine-learning-pipelines automl gradient-boosting automated-machine-learning

Updated May 19, 2020
Python

awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

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A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research

Updated Aug 2, 2020
Python

MLBox

AxeldeRomblay / MLBox

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MLBox is a powerful Automated Machine Learning python library.

Updated Aug 25, 2020
Python

hyperparameter_hunter

HunterMcGushion / hyperparameter_hunter

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Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

python data-science machine-learning ai deep-learning neural-network optimization scikit-learn sklearn keras ml artificial-intelligence xgboost hyperparameter-optimization experimentation lightgbm feature-engineering hyperparameter-tuning catboost rgf

Updated Jul 19, 2020
Python

awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

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A curated list of gradient boosting research papers with implementations.

classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees

Updated Aug 2, 2020
Python

interviewBubble / Data-Science-Competitions

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Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science machine-learning kaggle kaggle-competition xgboost data-science-competition competition-code analytics-vidhya data-science-competitions datahack-competition machinehack-competition kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners kaggle-solutions-github competitive-data-science-github

Updated Jan 30, 2020

openscoring / openscoring

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REST web service for the true real-time scoring (<1 ms) of R, Scikit-Learn and Apache Spark models

api real-time r apache-spark scikit-learn xgboost lightgbm pmml

Updated Aug 5, 2020
Java

mljar-supervised

mljar / mljar-supervised

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Open

Update keras na tf versions

pplonski opened Sep 8, 2020

enhancement good first issue help wanted

Open

Add link to EDA in main report

3

Open

Add ROC curve for binary classification report

6

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hczheng / Rong360

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用户贷款风险预测

python data-mining xgboost

Updated Apr 18, 2018
Jupyter Notebook

HuangCongQing / AI_competitions

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AI比赛相关信息汇总

ai sklearn logistic xgboost lightgbm matplotlib competitions agg sklearn-classify catboost

Updated Mar 29, 2020

h2oai / mli-resources

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H2O.ai Machine Learning Interpretability Resources

python data-science machine-learning data-mining h2o xgboost transparency jupyter-notebooks fairness accountability interpretability interpretable-ai interpretable-ml explainable-ml mli xai fatml interpretable-machine-learning iml machine-learning-interpretability

Updated May 22, 2020
Jupyter Notebook

minerva-ml / open-solution-home-credit

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Open solution to the Home Credit Default Risk challenge 🏡

python competition open-source machine-learning deep-learning pipeline neptune pipeline-framework python3 kaggle xgboost lightgbm feature-engineering reproducibility python35 credit-scoring reproducible-experiments credit-risk

Updated Jul 1, 2019
Python

spotify / featran

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Open

Add Segment Indices transformer

1

andrewsmartin commented Oct 11, 2017

See https://github.com/tensorflow/transform/blob/master/tensorflow_transform/mappers.py#L374

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enhancement good first issue help wanted

Open

Skip reduce step if all features have unit aggregator

elucideye / drishti

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Real time eye tracking for embedded and mobile devices.

android c-plus-plus ios xgboost eye-tracking acf face-detection object-detection dlib hunter face-tracking gradient-boosting drishti

Updated Sep 4, 2019
C++

wepe / tgboost

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Tiny Gradient Boosting Tree

machine-learning xgboost gradient-boosting-machine boosted-trees sliq

Updated Jun 13, 2019
Java

komiya-atsushi / xgboost-predictor-java

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Pure Java implementation of XGBoost predictor for online prediction tasks.

java machine-learning xgboost

Updated Nov 27, 2019
Java

rickiepark / handson-ml

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

Updated Mar 4, 2020
Jupyter Notebook

maxim5 / time-series-machine-learning

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Machine learning models for time series analysis

python machine-learning statistics deep-learning time-series neural-network bitcoin tensorflow ethereum blockchain recurrent-neural-networks cryptocurrency xgboost quantitative-finance financial-engineering poloniex-api time-series-prediction poloniex-trade-bot

Updated Feb 10, 2018
Python

lc222 / text_classification_AI100

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AI100文本分类竞赛代码。从传统机器学习到深度学习方法的测试

cnn xgboost vsm

Updated May 21, 2017
Python

AutoViML / AutoViz

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Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

visualization python machine-learning scikit-learn python3 xgboost tableau automl tpot automated-machine-learning auto-sklearn automl-algorithms

Updated Aug 8, 2020
Jupyter Notebook

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