xgboost

Here are 3,448 public repositories matching this topic...

dmlc / 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

distributed-systems machine-learning xgboost gbdt gbm gbrt

Updated Nov 26, 2024
C

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

kserve / kserve

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Standardized Serverless ML Inference Platform on Kubernetes

kubernetes machine-learning tensorflow sklearn pytorch artificial-intelligence xgboost k8s service-mesh hacktoberfest istio model-serving kubeflow mlops knative model-interpretability kserve genai llm-inference

Updated Nov 23, 2024
Python

alibaba / Alink

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Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

machine-learning data-mining statistics kafka graph-algorithms clustering word2vec regression xgboost classification recommender recommender-system apriori feature-engineering flink fm flink-ml graph-embedding flink-machine-learning

Updated Jun 7, 2024
Java

mljar / mljar-supervised

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Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Updated Nov 26, 2024
Python

parrt / dtreeviz

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A python library for decision tree visualization and model interpretation.

visualization python data-science machine-learning random-forest scikit-learn xgboost decision-trees model-interpretation

Updated Aug 29, 2024
Jupyter Notebook

BayesWitnesses / m2cgen

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Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

javascript ruby python c java go rust php machine-learning haskell r lightning csharp scikit-learn statistical-learning xgboost lightgbm statsmodels dartlang

Updated Aug 3, 2024
Python

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 May 1, 2022
Jupyter Notebook

mars-project / mars

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Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

python machine-learning tensorflow numpy scikit-learn pandas pytorch xgboost lightgbm tensor dask ray dataframe statsmodels joblib

Updated Jan 2, 2024
Python

jolibrain / deepdetect

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Deep Learning API and Server in C 14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

machine-learning caffe deep-learning time-series gpu rest-api pytorch xgboost image-classification image-search object-detection image-segmentation tsne neural-nets tensorrt ncnn tensorrt-conversion tensorrt-inference

Updated Nov 22, 2024
C

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 Mar 16, 2024
Python

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 Sep 16, 2022
R

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

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.