Alternatives and similar repositories for umap

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

• scikit-learn-contrib / hdbscan
  A high performance implementation of HDBSCAN clustering.
  ☆2,977Updated 3 weeks ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,843Updated last month
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,105Updated last week
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,888Updated this week
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,911Updated last year
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,468Updated 5 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,460Updated 3 months ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,326Updated this week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,338Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,033Updated last week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,370Updated 6 months ago
• tensorflow / probability
  Probabilistic reasoning and statistical analysis in TensorFlow
  ☆4,368Updated last week
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,175Updated last week
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆24,292Updated last week
• cupy / cupy
  NumPy & SciPy for GPU
  ☆10,440Updated this week
• pavlin-policar / openTSNE
  Extensible, parallel implementations of t-SNE
  ☆1,554Updated 2 weeks ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,788Updated last year
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,113Updated 2 months ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,378Updated last week
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,968Updated 2 weeks ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,142Updated 2 weeks ago
• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆9,125Updated last week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,970Updated last year
• CannyLab / tsne-cuda
  GPU Accelerated t-SNE for CUDA with Python bindings
  ☆1,877Updated 10 months ago
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,799Updated last year
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,520Updated last week
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,688Updated last month
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,056Updated 2 months ago
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,836Updated last year
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,646Updated this week