lmcinnes / umap

Related projects: ⓘ

• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆5,801Updated last week
• optuna / optuna
  A hyperparameter optimization framework
  ☆10,527Updated last week
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,200Updated last month
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆22,506Updated this week
• bayesian-optimization / BayesianOptimization
  A Python implementation of global optimization with gaussian processes.
  ☆7,806Updated last week
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆6,940Updated this week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,516Updated last month
• cupy / cupy
  NumPy & SciPy for GPU
  ☆8,124Updated this week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,542Updated last week
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,805Updated 3 months ago
• rapidsai / cuml
  cuML - RAPIDS Machine Learning Library
  ☆4,158Updated this week
• py-why / dowhy
  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…
  ☆7,007Updated 3 weeks ago
• pymc-devs / pymc
  Bayesian Modeling and Probabilistic Programming in Python
  ☆8,633Updated this week
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,264Updated last year
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,501Updated 3 weeks ago
• IDSIA / sacred
  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
  ☆4,214Updated 3 weeks ago
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆8,362Updated this week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,196Updated this week
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆4,862Updated 2 months ago
• scikit-optimize / scikit-optimize
  Sequential model-based optimization with a `scipy.optimize` interface
  ☆2,740Updated 6 months ago
• facebookresearch / nevergrad
  A Python toolbox for performing gradient-free optimization
  ☆3,931Updated this week
• jmschrei / pomegranate
  Fast, flexible and easy to use probabilistic modelling in Python.
  ☆3,348Updated 2 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,211Updated this week
• scikit-learn-contrib / hdbscan
  A high performance implementation of HDBSCAN clustering.
  ☆2,768Updated last month
• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆8,259Updated this week
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,810Updated this week
• autogluon / autogluon
  Fast and Accurate ML in 3 Lines of Code
  ☆7,646Updated this week
• EpistasisLab / tpot
  A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
  ☆9,655Updated last month
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,158Updated 2 weeks ago
• facebookresearch / hiplot
  HiPlot makes understanding high dimensional data easy
  ☆2,739Updated 8 months ago