astroautomata/PySR
Symbolic Learning in Python and Julia
A star delta has been computed for 61,707 of 62,640 tracked repositories in this period, and only those can be ranked in it.
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Star counts measured between 00:37 and 06:41 (BKK).
Symbolic Learning in Python and Julia
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Flower: A Friendly Federated AI Framework
A toolkit for time series machine learning and deep learning
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
NIPS — Machine-Learning-Based Network Intrusion Prevention System | Kitsune/LUCID integrated | Online unsupervised anomaly detection | Kernel-level real-time traffic interception | FastAPI + CLI management
Python AutoML for Trading Systems and Sports Betting
Fit interpretable models. Explain blackbox machine learning.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Production-shaped MLOps Python package and reference implementation of the MLOps Coding Course: MLflow, scikit-learn, Pydantic, Pandera, uv, and mise.
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Actuarial reserving in Python, triangle data manipulation, link ratios calculation, and IBNR models.
Survival analysis built on top of scikit-learn
skops is a Python library helping you share your scikit-learn based models and put them in production
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
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.
ONNXMLTools enables conversion of models to ONNX
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
That's all 26 repositories in this period.
