100 results found Sort:

EpistasisLab
tpot EpistasisLab
1.5k
9.5k
lgpl-3.0
287
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 alzheimer alzheimers automation u01ag066833 data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2015-11-03
2,440 commits to master branch, last one 3 months ago
h2oai
h2o-3 h2oai
2.0k
6.8k
apache-2.0
384
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me...
r gbm gpu h2o pca java spark automl hadoop python big-data h2o-automl opensource distributed naive-bayes data-science deep-learning random-forest machine-learning ensemble-learning
Created 2014-03-03
32,451 commits to master branch, last one a day ago
biolab
orange3 biolab
989
4.7k
other
182
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
numpy scipy orange pandas python orange3 plotting clustering regression data-mining data-science scikit-learn random-forest visualization classification decision-trees machine-learning data-visualization visual-programming
Created 2013-02-22
15,309 commits to master branch, last one 19 hours ago
susanli2016
Machine-Learning-with-Python susanli2016
4.8k
4.2k
unknown
271
Python code for common Machine Learning Algorithms
lda pca svm svr random-forest decision-trees kmeans-clustering linear-regression xgboost-algorithm knn-classification logistic-regression polynomial-regression naive-bayes-classifier hierarchical-clustering
Created 2017-05-26
211 commits to master branch, last one about a year ago
microsoft
FLAML microsoft
490
3.7k
mit
59
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
automl python tuning finetuning hyperparam regression data-science scikit-learn tabular-data deep-learning random-forest classification jupyter-notebook machine-learning timeseries-forecasting automated-machine-learning hyperparameter-optimization natural-language-generation natural-language-processing
Created 2020-08-20
721 commits to main branch, last one 2 months ago
tirthajyoti
Machine-Learning-with-Python tirthajyoti
1.8k
3.0k
bsd-2-clause
157
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
flask numpy pandas pytest clustering matplotlib regression statistics naive-bayes data-science scikit-learn deep-learning random-forest classification decision-trees neural-network machine-learning k-nearest-neighbours artificial-intelligence dimensionality-reduction
Created 2017-07-17
502 commits to master branch, last one about a year 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
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
kk7nc
Text_Classification kk7nc
546
1.8k
mit
74
Text Classification Algorithms: A Survey
deep-learning random-forest decision-trees text-processing rocchio-algorithm boosting-algorithms deep-belief-network deep-neural-network logistic-regression text-classification k-nearest-neighbours nlp-machine-learning naive-bayes-classifier document-classification support-vector-machines dimensionality-reduction conditional-random-fields recurrent-neural-networks convolutional-neural-networks hierarchical-attention-networks
Created 2018-07-06
228 commits to master branch, last one about a year ago
benedekrozemberczki
awesome-fraud-detection-papers benedekrozemberczki
297
1.6k
cc0-1.0
75
A curated list of data mining papers about fraud detection.
churn classifier data-mining data-science deep-learning fraud-checker random-forest classification credit-scoring fraud-explorer fraud-detection link-prediction fraud-management fraud-prevention credit-card-fraud gradient-boosting logistic-regression graph-classification credit-card-validation credit-card-fraud-detection
Created 2019-05-27
175 commits to master branch, last one 2 months ago
lxztju
pytorch_classification lxztju
338
1.3k
mit
14
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
cnn knn svm flask resnet pytorch resnext densenet deployment random-forest label-smoothing image-classification knowledge-distillation
Created 2020-04-19
31 commits to master branch, last one about a year ago
kingfengji
gcForest kingfengji
429
1.3k
unknown
89
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
deep-forest random-forest machine-learning ensemble-learning
Created 2017-06-01
27 commits to master branch, last one 3 years ago
LiYangHart
Hyperparameter-Optimization-of-Machine-Learning-Algorithms LiYangHart
298
1.3k
mit
90
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hpo knn svm hyperband grid-search optimization deep-learning random-forest random-search python-samples python-examples machine-learning genetic-algorithm tuning-parameters bayesian-optimization hyperparameter-tuning artificial-neural-networks hyperparameter-optimization machine-learning-algorithms particle-swarm-optimization
Created 2020-07-23
40 commits to master branch, last one about a year ago
automl
SMAC3 automl
217
1.0k
other
41
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
automl configuration random-forest gaussian-process bayesian-optimisation bayesian-optimization hyperparameter-search hyperparameter-tuning algorithm-configuration automated-machine-learning hyperparameter-optimization
Created 2016-08-17
2,072 commits to main branch, last one 15 days 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
grf-labs
grf grf-labs
248
937
gpl-3.0
45
Generalized Random Forests
statistics econometrics causal-forest random-forest causal-inference machine-learning
Created 2016-08-12
2,072 commits to master branch, last one 26 days ago
LAMDA-NJU
Deep-Forest LAMDA-NJU
158
897
other
20
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
python deep-forest random-forest machine-learning ensemble-learning
Created 2021-01-27
122 commits to master branch, last one about a year ago
nickgillian
grt nickgillian
286
852
unknown
92
gesture recognition toolkit
grt kmeans softmax random-forest machine-learning linear-regression gesture-recognition dynamic-time-warping support-vector-machine gesture-recognition-toolkit
Created 2014-01-03
897 commits to master branch, last one 4 years ago
nivu
ai_all_resources nivu
212
829
unknown
29
A curated list of Best Artificial Intelligence Resources
gan knn rnn kmeans python statquest regression statistics tensorflow mathematics data-science deep-learning random-forest decision-trees neural-networks machine-learning reinforcement-learning support-vector-machine artificial-intelligence convolutional-neural-networks
Created 2019-12-26
120 commits to master branch, last one about a month ago
Xtra-Computing
thundergbm Xtra-Computing
84
689
apache-2.0
25
ThunderGBM: Fast GBDTs and Random Forests on GPUs
gpu cuda gbdt random-forest machine-learning
Created 2016-11-11
611 commits to master branch, last one 4 months ago
tensorflow
decision-forests tensorflow
105
649
apache-2.0
25
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
ml keras python tensorflow random-forest decision-trees decision-forest interpretability machine-learning gradient-boosting
Created 2021-04-22
607 commits to main branch, last one 23 days ago
machinelearnjs
machinelearnjs machinelearnjs
54
537
mit
15
Machine Learning library for the web and Node.
svm web node easy-to-use minimalistic random-forest structured-data machine-learning data-preprocessing feature-extraction probabilistic-models statistical-learning
Created 2018-04-29
805 commits to master branch, last one 4 years ago
linkedin
FastTreeSHAP linkedin
30
498
bsd-2-clause
7
Fast SHAP value computation for interpreting tree-based models
shap xgboost lightgbm random-forest explainable-ai interpretability machine-learning
Created 2022-01-24
40 commits to master branch, last one 11 months ago
kLabUM
rrcf kLabUM
111
485
mit
20
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
tree python outliers random-forest streaming-data detect-outliers machine-learning anomaly-detection robust-random-cut-forest
Created 2018-10-20
266 commits to master branch, last one 9 months ago
emlearn
emlearn emlearn
50
448
mit
14
Machine Learning inference engine for Microcontrollers and Embedded devices
c keras python tinyml sklearn inference classifier tensorflow scikit-learn random-forest microcontroller neural-networks embedded-systems machine-learning
Created 2018-03-16
645 commits to master branch, last one 14 days ago
serengil
chefboost serengil
102
445
mit
18
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
gbm id3 cart gbdt gbrt kaggle python adaboost c45-trees data-mining data-science random-forest decision-trees regression-tree machine-learning gradient-boosting categorical-features gradient-boosting-machine gradient-boosting-machines
Created 2019-03-06
383 commits to master branch, last one 5 months ago
google
yggdrasil-decision-forests google
47
437
apache-2.0
13
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
go ml cli cpp cart pypi python javascript tensorflow random-forest decision-trees decision-forest interpretability machine-learning gradient-boosting distributed-computing
Created 2021-04-22
819 commits to main branch, last one 18 hours ago
mdabros
SharpLearning mdabros
82
378
mit
35
Machine learning for C# .Net
csharp dotnet machine metrics adaboost learning opensource neural-nets deep-learning random-forest decision-trees cross-validation machine-learning ensemble-learning gradient-boosting-machine
Created 2017-02-14
615 commits to master branch, last one about a month ago