lmcinnes / umapLinks
Uniform Manifold Approximation and Projection
☆8,070Updated this week
Alternatives and similar repositories for umap
Users that are interested in umap are comparing it to the libraries listed below
Sorting:
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Updated last month
- A high performance implementation of HDBSCAN clustering.☆3,052Updated last month
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,078Updated last month
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,605Updated last week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,355Updated 3 months ago
- cuML - RAPIDS Machine Learning Library☆5,093Updated this week
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,094Updated this week
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,914Updated last year
- Model interpretability and understanding for PyTorch☆5,535Updated this week
- Extensible, parallel implementations of t-SNE☆1,598Updated 2 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,808Updated last year
- Efficiently computes derivatives of NumPy code.☆7,446Updated last week
- Lime: Explaining the predictions of any machine learning classifier☆12,089Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,772Updated 2 weeks ago
- A hyperparameter optimization framework☆13,423Updated this week
- GPU Accelerated t-SNE for CUDA with Python bindings☆1,919Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,395Updated 11 months ago
- A Python toolbox for performing gradient-free optimization☆4,144Updated 7 months ago
- A game theoretic approach to explain the output of any machine learning model.☆24,937Updated this week
- A Python implementation of global optimization with gaussian processes.☆8,527Updated 3 weeks ago
- Fit interpretable models. Explain blackbox machine learning.☆6,768Updated 2 weeks ago
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,508Updated 10 months ago
- Deep universal probabilistic programming with Python and PyTorch☆8,962Updated 6 months ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,727Updated last week
- Bayesian Modeling and Probabilistic Programming in Python☆9,459Updated this week
- A python library for decision tree visualization and model interpretation.☆3,121Updated 3 weeks ago
- Bayesian optimization in PyTorch☆3,452Updated this week
- HiPlot makes understanding high dimensional data easy☆2,801Updated 2 years ago
- A system for quickly generating training data with weak supervision☆5,937Updated last year
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,518Updated last year