Alternatives and similar repositories for OCRF:

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

• pjh2011 / rf_perm_feat_import
  ☆13Updated 8 years ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆19Updated 3 years ago
• ericmjl / minimal-panel-app
  A pedagogical implementation of panel apps served up on a remote machine.
  ☆14Updated 3 years ago
• chagaz / sfan
  Selecting features as (network) nodes
  ☆11Updated 6 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated last year
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• m2dsupsdlclass / azure-deployment
  Deployment instructions to get a GPU VM for the Deep Learning class
  ☆17Updated 6 years ago
• jphall663 / kdd_2019
  Paper and talk from KDD 2019 XAI Workshop
  ☆20Updated 4 years ago
• summerscope / fair-ml-reading-group
  Reading history for Fair ML Reading Group in Melbourne
  ☆37Updated 3 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• janvanrijn / openml-pimp
  Parameter Importance according to OpenML
  ☆13Updated 2 years ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 2 years ago
• fnl / asdm-tm-class
  Course material for the Madrid ASDM class on text mining (C09)
  ☆12Updated 5 years ago
• pmbaumgartner / excelify
  IPython Magic for exporting pandas objects to Excel
  ☆13Updated 6 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• MiyainNYC / Graph-Thinking
  Recommender Systems, Social Network Analysis, static & dynamic graph modeling, Neo4j, igraph, networkX
  ☆9Updated 7 years ago
• EpistasisLab / ebic
  EBIC - AI-based parallel biclustering algorithm
  ☆20Updated 6 years ago
• ljvmiranda921 / vs-split
  A Python library for creating adversarial splits
  ☆13Updated 2 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 5 years ago
• pcerda / string_categorical_encoders
  Scripts for paper "Encoding high-cardinality string categorical variables"
  ☆24Updated 5 years ago
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆53Updated 2 weeks ago
• pbugnion / jupyter-widgets-for-data-science-guis
  Creating user interfaces for data science with Jupyter widgets
  ☆11Updated 7 years ago
• QueensGambit / PGM-Causal-Reasoning
  Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship
  ☆9Updated 5 years ago
• erlendd / Neighborhood-Components-Analysis-in-Python
  A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.
  ☆15Updated 8 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 6 years ago
• rubik / sklearn-pdtransform
  Sklearn transformers that work with Pandas dataframes
  ☆12Updated 4 years ago