Alternatives and similar repositories for Project-Orient

Users that are interested in Project-Orient are comparing it to the libraries listed below

• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• arimbr / valohai-fasttext-example
  Production Machine Learning Pipeline for Text Classification with fastText
  ☆33Updated 4 years ago
• Akxay / recommendation_engine
  ☆23Updated 6 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 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 2 weeks ago
• leenamurgai / debias-ml
  A practical, explainable and effective method for reducing bias in machine learning algorithms.
  ☆22Updated 5 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 7 months ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆174Updated last month
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆28Updated 7 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• DistrictDataLabs / entity-resolution
  Tutorial code and data for the entity resolution workshops.
  ☆45Updated 10 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated 2 years ago
• glopasso / text-summarization
  Text summarization algorithm for the Capstone Project at Springboard code bootcamp
  ☆54Updated 3 years ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆53Updated 2 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• dtriepke / nlp_model_selection_app
  ☆16Updated 5 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆39Updated 6 years ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 8 years ago