Alternatives and similar repositories for Nuance:

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

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 5 years ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 8 years ago
• peterhurford / vowpal_platypus
  Fast, accurate, lightweight, multi-core ML in Python, leveraging Vowpal Wabbit
  ☆21Updated 6 years ago
• tgsmith61591 / skutil
  NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…
  ☆30Updated 6 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 4 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 2 years ago
• jcbozonier / research
  A collection of IPython Notebooks containing my research.
  ☆20Updated 6 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 3 years ago
• bwengals / pymc
  Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
  ☆9Updated last month
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 7 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• mpearmain / scikit-wrapRs
  ☆13Updated 7 years ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated last year
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆37Updated 4 months ago
• wikimedia-research / search_task
  (Deprecated) Task for the Search & Discovery data analyst job.
  ☆21Updated 9 years ago
• szilard / GBM-multicore
  GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems
  ☆20Updated 6 years ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 6 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆113Updated last year
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 5 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆55Updated 9 years ago
• civisanalytics / civisml-extensions
  scikit-learn-compatible estimators from Civis Analytics
  ☆59Updated 3 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• amit-sharma / splitdoor-causal-criterion
  A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…
  ☆15Updated 5 years ago