#scikit-learn (30 Repositories)
Ranked open-source repositories tagged with #scikit-learn, scored by pull request acceptance likelihood and maintainer engagement velocity.
52.4%
163.2h
30 repositories tagged #scikit-learn
flwrlabs/flower
Flower: A Friendly Federated AI Framework
casact/chainladder-python
Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.
probabl-ai/skore
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation analysis.
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
sktime/sktime
A unified framework for machine learning with time series
uxlfoundation/scikit-learn-intelex
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
aeon-toolkit/aeon
A toolkit for time series machine learning and deep learning
onnx/onnx
Open standard for machine learning interoperability
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
rodrigo-arenas/Sklearn-genetic-opt
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
skops-dev/skops
skops is a Python library helping you share your scikit-learn based models and put them in production
posit-dev/orbital
Turn SciKitLearn pipelines into SQL
ysig/GraKeL
A scikit-learn compatible library for graph kernels
sebp/scikit-survival
Survival analysis built on top of scikit-learn
apachecn/sklearn-doc-zh
:book: [译] scikit-learn（sklearn） 中文文档
davisidarta/topometry
Systematically learn and evaluate the latent geometry of high-dimensional data, with a focus on scRNAseq analysis
upgini/upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
microsoft/hummingbird
Hummingbird compiles trained ML models into tensor computation for faster inference.
IBM/lale
Library for Semi-Automated Data Science
astroautomata/PySR
Symbolic Learning in Python and Julia
georgedouzas/sports-betting
Collection of sports betting AI tools.
fraisasghar/Machine-Learning-Classification-using-Python
This project applies machine learning techniques in Python to analyze data, visualize feature relationships, and perform classification using models such as Decision Tree and Support Vector Machine. Model performance is evaluated through confusion matrices and graphical analysis.
DoubleML/doubleml-for-py
DoubleML - Double Machine Learning in Python
omegaml/omegaml
MLOps simplified. One-stop AI delivery platform, all the features you need.
EC-KitY/EC-KitY
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
combust/mleap
MLeap: Deploy ML Pipelines to Production
dusty-nv/jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.