Simon Blanke
SimonBlanke
Engineering @ HENSOLDT | Author of Gradient-Free-Optimizers & @hyperactive-project
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Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Standardized test-functions for optimization algorithms and machine-learning
Metalearning for Hyperparameter Optimization
Visualizations for the Gradient-Free-Optimizers and Hyperactive package
skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
A unified framework for machine learning with time series
Repositories
58skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
A unified framework for machine learning with time series
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Standardized test-functions for optimization algorithms and machine-learning
Adaptation of the popular mkdocs-material material design theme to the sphinx documentation system
No description provided.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
poliastro - :rocket: Astrodynamics in Python
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
Metalearning for Hyperparameter Optimization
TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
A collection of Benchmark functions for numerical optimization problems
OpenML AutoML Benchmarking Framework
OpenML's Python API for a World of Data and More 💫
Python-based server
Open Machine Learning
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
Time series forecasting with machine learning models
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Kalman Filter, Smoother, and EM Algorithm for Python
Feature engineering package with sklearn like functionality
No description provided.
Python library for causal inference and probabilistic modeling.
Time series forecasting with PyTorch
A multiverse of Prophet models for timeseries
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Statsmodels: statistical modeling and econometrics in Python
Google Coral TPU DKMS Driver package for Fedora, RHEL, OpenSUSE, and OpenMandriva
Visualizations for the Gradient-Free-Optimizers and Hyperactive package