Alternatives and similar repositories for odsc-target-leakage-workshop

Users that are interested in odsc-target-leakage-workshop are comparing it to the libraries listed below

• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆43Updated 2 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• jphall663 / secure_ML_ideas
  Practical ideas on securing machine learning models
  ☆36Updated 4 years ago
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 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
• nickb- / tensorflow-probability-100days
  100 Days of Experimenting with TensorFlow Probability
  ☆39Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• jphall663 / GWU_rml
  ☆39Updated 7 months ago
• luke14free / bulldog
  State management framework for Data Science & Analytics
  ☆19Updated 6 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• yanneta / deep-learning-data-institute
  Repo for the course "Fundamentals of Deep Learning with Pytorch"
  ☆39Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 8 months ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆127Updated 5 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆30Updated 3 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• Wrosinski / keraspipelines
  Pipelines for Keras Deep Learning Library
  ☆17Updated 8 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 5 years ago
• Informationsfabrik / feature-engineering
  ☆14Updated 6 years ago