scikit-learn-contrib / hdbscan
A high performance implementation of HDBSCAN clustering.
☆2,768Updated last month
Related projects: ⓘ
- Sequential model-based optimization with a `scipy.optimize` interface☆2,740Updated 6 months ago
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,348Updated 2 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,200Updated last month
- Uniform Manifold Approximation and Projection☆7,363Updated last month
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,879Updated 7 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,264Updated last year
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,429Updated 3 weeks ago
- pyclustering is a Python, C++ data mining library.☆1,162Updated 6 months ago
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆4,862Updated 2 months ago
- Hidden Markov Models in Python, with scikit-learn like API☆3,022Updated 4 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆6,805Updated 3 months ago
- A library of sklearn compatible categorical variable encoders☆2,400Updated 5 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,752Updated 2 years ago
- Hyper-parameter optimization for sklearn☆1,580Updated 3 months ago
- The machine learning toolkit for time series analysis in Python☆2,882Updated 2 months ago
- A scikit-learn compatible neural network library that wraps PyTorch☆5,801Updated last week
- A Python toolbox for gaining geometric insights into high-dimensional data☆1,819Updated 6 months ago
- A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner☆2,515Updated 5 months ago
- With Holoviews, your data visualizes itself.☆2,688Updated this week
- A Python implementation of global optimization with gaussian processes.☆7,806Updated last week
- Python implementations of the Boruta all-relevant feature selection method.☆1,484Updated last month
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,214Updated 3 weeks ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,176Updated last year
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,655Updated last month
- Pandas integration with sklearn☆2,804Updated last year
- Automatic extraction of relevant features from time series:☆8,361Updated last month
- Automated Machine Learning with scikit-learn☆7,542Updated last week
- Open source time series library for Python☆2,107Updated 10 months ago
- ruptures: change point detection in Python☆1,590Updated 2 weeks ago
- Multivariate imputation and matrix completion algorithms implemented in Python☆1,249Updated 10 months ago