99 results found Sort:

dmlc
xgboost dmlc
8.7k
25.7k
apache-2.0
912
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
gbm gbdt gbrt xgboost machine-learning distributed-systems
Created 2014-02-06
6,878 commits to master branch, last one a day ago
MingchaoZhu
DeepLearning MingchaoZhu
1.3k
6.1k
mit
190
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 xgboost bayesian deep-learning regularization machine-learning ensemble-learning
Created 2020-02-27
27 commits to master branch, last one 4 years ago
alibaba
Alink alibaba
794
3.5k
apache-2.0
138
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
fm flink kafka apriori xgboost flink-ml word2vec clustering regression statistics data-mining recommender classification graph-embedding graph-algorithms machine-learning recommender-system feature-engineering flink-machine-learning
Created 2018-09-30
282 commits to master branch, last one 8 days ago
kserve
kserve kserve
978
3.2k
apache-2.0
63
Standardized Serverless ML Inference Platform on Kubernetes
k8s istio mlops kserve knative pytorch sklearn xgboost kubeflow kubernetes tensorflow service-mesh hacktoberfest model-serving mlops-community machine-learning hacktoberfest2023 kubeflow-pipelines model-interpretability artificial-intelligence
Created 2019-03-27
1,499 commits to master branch, last one 4 days ago
mljar
mljar-supervised mljar
389
3.0k
mit
49
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
shap mljar automl xgboost catboost ensemble lightgbm data-science scikit-learn decision-tree models-tuning random-forest neural-network hyper-parameters machine-learning tuning-algorithm feature-engineering automated-machine-learning automatic-machine-learning hyperparameter-optimization
Created 2018-11-05
1,169 commits to master branch, last one 9 days ago
parrt
dtreeviz parrt
332
2.9k
mit
46
A python library for decision tree visualization and model interpretation.
python xgboost data-science scikit-learn random-forest visualization decision-trees machine-learning model-interpretation
Created 2018-08-13
619 commits to master branch, last one 4 months ago
BayesWitnesses
m2cgen BayesWitnesses
236
2.7k
mit
50
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
c r go php java ruby rust csharp python haskell xgboost dartlang lightgbm lightning javascript statsmodels scikit-learn machine-learning statistical-learning
Created 2019-01-13
376 commits to master branch, last one about a year ago
TeamHG-Memex
eli5 TeamHG-Memex
333
2.7k
mit
67
A library for debugging/inspecting machine learning classifiers and explaining their predictions
nlp python xgboost crfsuite lightgbm inspection explanation data-science scikit-learn machine-learning
Created 2016-09-15
1,198 commits to master branch, last one 4 years ago
mars-project
mars mars-project
323
2.7k
apache-2.0
92
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
ray dask numpy joblib pandas python tensor pytorch xgboost lightgbm dataframe tensorflow statsmodels scikit-learn machine-learning
Created 2018-12-05
1,297 commits to master branch, last one 7 months ago
jolibrain
deepdetect jolibrain
560
2.5k
other
131
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
gpu ncnn tsne caffe pytorch xgboost rest-api tensorrt neural-nets time-series image-search deep-learning machine-learning object-detection image-segmentation tensorrt-inference tensorrt-conversion image-classification
Created 2015-05-22
3,281 commits to master branch, last one 3 days ago
benedekrozemberczki
awesome-decision-tree-papers benedekrozemberczki
339
2.3k
cc0-1.0
131
A collection of research papers on decision, classification and regression trees with implementations.
cart xgboost catboost lightgbm classifier decision-tree random-forest tree-ensemble regression-tree machine-learning ensemble-learning gradient-boosting decision-tree-model classification-model classification-trees statistical-learning decision-tree-learning decision-tree-classifier gradient-boosting-machine machine-learning-research
Created 2019-05-11
281 commits to master branch, last one 2 months ago
szilard
benchm-ml szilard
335
1.9k
mit
149
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 algor...
r h2o spark python xgboost data-science deep-learning random-forest machine-learning gradient-boosting-machine
Created 2015-03-28
522 commits to master branch, last one 4 years ago
minimaxir
automl-gs minimaxir
175
1.8k
mit
61
Provide an input CSV and a target field to predict, generate a model + code to run it.
keras automl python xgboost tensorflow machine-learning
Created 2019-01-13
102 commits to master branch, last one 5 years ago
AutoViML
AutoViz AutoViML
196
1.6k
apache-2.0
32
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
tpot automl python python3 tableau xgboost auto-sklearn scikit-learn visualization machine-learning automl-algorithms automated-machine-learning
Created 2019-07-17
222 commits to master branch, last one about a month ago
ClimbsRocks
auto_ml ClimbsRocks
312
1.6k
mit
98
[UNMAINTAINED] Automated machine learning for analytics & production
keras automl python xgboost lightgbm analytics tensorflow data-science deeplearning scikit-learn deep-learning machine-learning production-ready gradient-boosting feature-engineering artificial-intelligence machine-learning-library automated-machine-learning machine-learning-pipelines hyperparameter-optimization
Created 2016-08-07
1,149 commits to master branch, last one 6 years ago
kubeflow
training-operator kubeflow
650
1.5k
apache-2.0
86
Distributed ML Training and Fine-Tuning on Kubernetes
ai gpu jax llm mlops python pytorch xgboost kubeflow kubernetes tensorflow distributed fine-tuning huggingface machine-learning
Created 2017-06-28
1,021 commits to master branch, last one 13 hours ago
AxeldeRomblay
MLBox AxeldeRomblay
274
1.5k
other
65
MLBox is a powerful Automated Machine Learning python library.
drift keras automl kaggle auto-ml xgboost encoding lightgbm pipeline stacking prediction regression distributed data-science optimization deep-learning preprocessing classification machine-learning automated-machine-learning
Created 2017-06-01
1,121 commits to master branch, last one 3 years ago
xorbitsai
xorbits xorbitsai
64
1.0k
apache-2.0
18
Scalable Python DS & ML, in an API compatible & lightning fast way.
ml numpy pandas python xgboost lightgbm scalable data-science machine-learning distributed-systems
Created 2022-07-27
419 commits to main branch, last one 4 months ago
benedekrozemberczki
awesome-gradient-boosting-papers benedekrozemberczki
154
985
cc0-1.0
49
A curated list of gradient boosting research papers with implementations.
h2o xgboost adaboost boosting catboost lightgbm classifier decision-tree deep-learning random-forest machine-learning gradient-boosting xgboost-algorithm classification-tree classification-trees gradient-boosted-trees classification-algorithm gradient-boosting-machine gradient-boosting-classifier gradient-boosting-decision-trees
Created 2019-05-11
206 commits to master branch, last one 2 months ago
JoaquinAmatRodrigo
skforecast JoaquinAmatRodrigo
110
973
bsd-3-clause
11
Time series forecasting with scikit-learn models
arima python sarimax xgboost lightgbm forecasting time-series data-science scikit-learn machine-learning direct-forecasting exogenous-predictors quantile-forecasting multi-step-forecasting backtesting-forecasters multi-series-forecasting probabilistic-forecasting autoregressive-forecasting multiple-time-series-forecasting weighted-time-series-forecasting
Created 2021-02-10
3,195 commits to master branch, last one a day ago
Nixtla
mlforecast Nixtla
70
743
apache-2.0
13
Scalable machine 🤖 learning for time series forecasting.
dask python xgboost forecast lightgbm forecasting time-series machine-learning
Created 2021-04-26
270 commits to main branch, last one 22 days ago
HunterMcGushion
hyperparameter_hunter HunterMcGushion
103
702
mit
24
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai ml rgf keras python sklearn xgboost catboost lightgbm data-science optimization scikit-learn deep-learning neural-network experimentation machine-learning feature-engineering hyperparameter-tuning artificial-intelligence hyperparameter-optimization
Created 2018-06-01
1,096 commits to master branch, last one 3 years ago
SeldonIO
MLServer SeldonIO
175
598
apache-2.0
24
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
mlflow xgboost lightgbm kfserving seldon-core scikit-learn machine-learning
Created 2020-06-16
1,593 commits to master branch, last one a day ago
HuangCongQing
AI_competitions HuangCongQing
121
591
mit
24
AI比赛相关信息汇总
ai agg sklearn xgboost catboost lightgbm logistic matplotlib competitions sklearn-classify
Created 2018-06-08
52 commits to master branch, last one about a year ago
openscoring
openscoring openscoring
173
578
agpl-3.0
36
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
r api pmml xgboost lightgbm real-time apache-spark scikit-learn
Created 2013-04-02
603 commits to master branch, last one about a year ago
AutoViML
featurewiz AutoViML
84
559
apache-2.0
7
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
rfe rfecv xgboost feature-engg featuretools best-encoders feature-selection feature-extraction feature-engineering categorical-variables
Created 2020-11-29
346 commits to main branch, last one 29 days ago
neptune-ai
neptune-client neptune-ai
59
541
apache-2.0
18
📘 The MLOps stack component for experiment tracking
dl ml rl keras mlops logger optuna logging machine pytorch xgboost learning lightgbm comparison monitoring repository tensorflow versioning optimization visualization
Created 2019-02-11
2,065 commits to master branch, last one 3 days ago
cerlymarco
shap-hypetune cerlymarco
70
540
mit
7
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
shap xgboost lightgbm model-selection parameter-tuning feature-selection hyperparameter-optimization
Created 2021-05-16
30 commits to main branch, last one 3 months ago
StatMixedML
XGBoostLSS StatMixedML
54
507
apache-2.0
26
An extension of XGBoost to probabilistic modelling
gamlss xgboost machine-learning normalizing-flows prediction-intervals mixture-density-model uncertainty-estimation multi-target-regression probabilistic-forecasts distributional-regression
Created 2019-06-16
978 commits to master branch, last one 4 months ago
AutoViML
Auto_ViML AutoViML
100
506
apache-2.0
26
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
tpot automl python python3 xgboost auto-viml autokeras autosklearn scikit-learn machine-learning automl-algorithms automated-machine-learning
Created 2019-06-10
331 commits to master branch, last one 20 days ago