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EpistasisLab/tpot

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

10.0K
Stable
Jupyter Notebook
AutoML
scikit-learn
#automated-machine-learning#hyperparameter-optimization#model-selection

h2oai/h2o-3

An open-source, distributed machine learning platform with support for various algorithms and autoML.

7.5K
Active
Jupyter Notebook
ML Ops
Databases
#machine-learning#automl#distributed

biolab/orange3

Interactive data analysis tool with machine learning, visualization, and decision tree capabilities

5.6K
Active
Python
ML Ops
Data Visualization
Python
#data-visualization#machine-learning#data-mining

microsoft/FLAML

A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.

4.3K
Active
Jupyter Notebook
Automated Machine Learning
Machine Learning
Jupyter Notebook
#automated-machine-learning#hyperparameter-optimization#tabular-data

mljar/mljar-supervised

An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.

3.2K
Experimental
Python
ML Ops
Databases
Python
#automated-machine-learning#automl#tabular-data

parrt/dtreeviz

A Python library for visualizing and interpreting decision tree models.

3.1K
Active
Jupyter Notebook
Computer Vision
Machine Learning
#data-science#decision-trees#model-interpretation

benedekrozemberczki/awesome-decision-tree-papers

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

2.5K
Stable
Python
Machine Learning Research
Machine Learning
Python
#decision-trees#classification-models#regression-trees

szilard/benchm-ml

A benchmarking tool for evaluating the performance of popular machine learning algorithms and libraries.

1.9K
Archived
R
ML Ops
Databases
R
#machine-learning#benchmark#performance-testing

kk7nc/Text_Classification

A comprehensive survey of text classification algorithms and techniques in Python.

1.8K
Experimental
Python
Text Processing
Learning & Education
Python
#text-classification#nlp#machine-learning

benedekrozemberczki/awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

1.8K
Active
Python
ML Ops
Data Mining
#fraud-detection#data-mining#classification

lxztju/pytorch_classification

A comprehensive PyTorch-based code repository for image classification, including training, prediction, TTA, model fusion, deployment, and more.

1.5K
Archived
Jupyter Notebook
Computer Vision
API Frameworks
PyTorch
#image-classification#cnn#resnet

nivu/ai_all_resources

A curated list of best AI resources for developers, including tutorials, libraries, and tools.

1.4K
Experimental
Jupyter Notebook
AI SDKs & Wrappers
Tutorials & Courses
#artificial-intelligence#machine-learning#data-science

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

A library for implementing hyperparameter optimization methods for machine learning and deep learning models.

1.3K
Archived
Jupyter Notebook
ML Ops
ORMs & Query Builders
Python
#machine-learning#deep-learning#hyperparameter-optimization

kingfengji/gcForest

This is an open-source implementation of the deep forest machine learning algorithm for ensemble learning.

1.3K
Archived
Python
ML Ops
ML Frameworks
Python
#deep-learning#ensemble-learning#random-forest

automl/SMAC3

SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.

1.2K
Stable
Python
Automated Machine Learning
Hyperparameter Optimization
#algorithm-configuration#bayesian-optimization#hyperparameter-tuning

grf-labs/grf

A powerful C++ library for building causal models and performing advanced statistical analysis.

1.1K
Stable
C++
ML Ops
API Frameworks
#causal-inference#econometrics#random-forest

benedekrozemberczki/awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations in Python.

1.0K
Active
Python
Machine Learning Ops
API Frameworks
Python
#machine-learning#classification#gradient-boosting

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