Alternatives and similar repositories for ramp-workflow

Users that are interested in ramp-workflow are comparing it to the libraries listed below

• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• interpretable-ml / iml
  Interpretable ML package designed to explain any machine learning model.
  ☆61Updated 6 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 5 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆152Updated last month
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• parsing-science / pymc3_models
  ☆158Updated 2 years ago
• jonsedar / pymc3_vs_pystan
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆128Updated 9 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆126Updated 5 years ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆228Updated 4 years ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆288Updated last month
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated 10 months ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆72Updated 10 months ago
• koaning / scikit-fairness
  this repo might get accepted
  ☆28Updated 4 years ago
• meeliskull / prg
  Software to create Precision-Recall-Gain curves and calculate area under the curve
  ☆40Updated 2 years ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆177Updated last year
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 5 years ago
• GaelVaroquaux / sklearn_ensae_course
  Materials for a course on scikit-learn at ENSAE
  ☆31Updated 8 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• paris-saclay-cds / ramp-board
  RAMP packages: database, backend, frontend, utilities
  ☆16Updated last year
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 4 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• saturncloud / dask-pytorch-ddp
  dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
  ☆59Updated 4 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago