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.
  ☆3,000Updated 2 months ago
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,118Updated last month
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,476Updated 2 weeks ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,336Updated last month
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,912Updated last year
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,794Updated last year
• meta-pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,419Updated this week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆7,042Updated last month
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,373Updated 7 months ago
• optuna / optuna
  A hyperparameter optimization framework
  ☆12,789Updated this week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,366Updated last week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆12,007Updated last year
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,946Updated this week
• snorkel-team / snorkel
  A system for quickly generating training data with weak supervision
  ☆5,923Updated last year
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆24,481Updated last week
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆9,277Updated last week
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,775Updated 5 months ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,361Updated this week
• CannyLab / tsne-cuda
  GPU Accelerated t-SNE for CUDA with Python bindings
  ☆1,882Updated last year
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,482Updated 7 months ago
• spotify / annoy
  Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
  ☆13,978Updated last year
• blei-lab / edward
  A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
  ☆4,838Updated last year
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,701Updated 2 weeks ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,205Updated last month
• pavlin-policar / openTSNE
  Extensible, parallel implementations of t-SNE
  ☆1,565Updated last month
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,687Updated this week
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆8,408Updated last month
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆4,120Updated 4 months ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,871Updated 3 months ago
• parrt / dtreeviz
  A python library for decision tree visualization and model interpretation.
  ☆3,098Updated 7 months ago