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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Created
2015-11-03
2,440 commits to master branch, last one 9 months ago
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...
Created
2014-03-03
32,553 commits to master branch, last one 20 days ago
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Created
2013-02-22
15,480 commits to master branch, last one 4 days ago
Python code for common Machine Learning Algorithms
Created
2017-05-26
211 commits to master branch, last one 2 years ago
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
767 commits to main branch, last one 13 days ago
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Created
2017-07-17
502 commits to master branch, last one 2 years ago
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Created
2018-11-05
1,223 commits to master branch, last one 7 days ago
A python library for decision tree visualization and model interpretation.
Created
2018-08-13
621 commits to master branch, last one 3 months ago
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 8 months ago
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...
Created
2015-03-28
522 commits to master branch, last one 5 years ago
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
230 commits to master branch, last one about a month ago
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 8 months ago
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
Created
2020-04-19
31 commits to master branch, last one about a year ago
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Created
2017-06-01
27 commits to master branch, last one 3 years ago
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 2 years ago
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Created
2016-08-17
2,074 commits to main branch, last one 4 months ago
A curated list of Best Artificial Intelligence Resources
Created
2019-12-26
124 commits to master branch, last one 2 months ago
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 8 months ago
Generalized Random Forests
Created
2016-08-12
2,101 commits to master branch, last one 18 days ago
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Created
2021-01-27
122 commits to master branch, last one about a year ago
gesture recognition toolkit
Created
2014-01-03
897 commits to master branch, last one 5 years ago
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Created
2016-11-11
611 commits to master branch, last one 10 months ago
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Created
2021-04-22
625 commits to main branch, last one 13 days ago
Machine Learning library for the web and Node.
Created
2018-04-29
805 commits to master branch, last one 5 years ago
Fast SHAP value computation for interpreting tree-based models
Created
2022-01-24
40 commits to master branch, last one about a year ago
Machine Learning inference engine for Microcontrollers and Embedded devices
Created
2018-03-16
670 commits to master branch, last one 4 months ago
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Created
2021-04-22
1,017 commits to main branch, last one 5 hours ago
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Created
2018-10-20
266 commits to master branch, last one about a year ago
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 ...
Created
2019-03-06
404 commits to master branch, last one about a month ago
Visualize decision trees in Python
Created
2024-07-24
117 commits to main branch, last one 13 days ago