Alternatives and similar repositories for seldon-core

Users that are interested in seldon-core are comparing it to the libraries listed below

• linkedin / LiFT
  The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…
  ☆173Updated last month
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago
• h2oai / driverlessai-tutorials
  H2OAI Driverless AI Code Samples and Tutorials
  ☆38Updated last year
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆65Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 4 years ago
• lapolonio / text_classification_tutorial
  Enterprise Solution for Text Classification (using BERT)
  ☆10Updated 3 years ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 3 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆30Updated 3 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆35Updated 5 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• iterative / example_cml
  ☆30Updated last year
• alexcoca / DistributedKernelShap
  ☆12Updated 5 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• whiteboxml / teaching-ml-in-production
  ☆53Updated 3 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• yanneta / deep-learning-with-pytorch
  ☆49Updated 5 years ago
• lavanyashukla / neural_networks
  ☆50Updated 4 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 6 months ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 4 years ago
• noahgift / or
  Operations Research Algorithms
  ☆19Updated last year
• h2oai / tutorials
  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…
  ☆134Updated last year
• muellerzr / fastai2-Tabular-Baselines
  A few baselines with a standard tabular model
  ☆38Updated 5 years ago
• aronchick / kubeflow-and-mlops
  ☆28Updated 6 years ago
• algorithmiaio / model-deployment
  Examples showcasing model deployment
  ☆17Updated 2 years ago
• loglabs / mltrace-demo
  Python ML pipeline that showcases mltrace functionality.
  ☆28Updated 4 years ago