Alternatives and similar repositories for umap:

Users that are interested in umap are comparing it to the libraries listed below

• optuna / optuna
  A hyperparameter optimization framework
  ☆11,000Updated this week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,275Updated last month
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,895Updated 3 weeks ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,030Updated this week
• scikit-learn-contrib / hdbscan
  A high performance implementation of HDBSCAN clustering.
  ☆2,815Updated 2 weeks ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,855Updated last week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,917Updated 2 weeks ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,296Updated 2 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,305Updated this week
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,264Updated this week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,759Updated 2 years ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,743Updated 9 months ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,554Updated 2 weeks ago
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,751Updated 4 months ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆22,987Updated this week
• ResidentMario / missingno
  Missing data visualization module for Python.
  ☆3,971Updated 6 months ago
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,642Updated 4 months ago
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆7,956Updated last month
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆3,968Updated this week
• cupy / cupy
  NumPy & SciPy for GPU
  ☆9,531Updated this week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,956Updated last week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,114Updated this week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,652Updated this week
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,762Updated 10 months ago
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆8,747Updated this week
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,832Updated 8 months ago
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,278Updated 3 months ago
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,162Updated 3 weeks ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,590Updated last month
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,270Updated last week