Alternatives and similar repositories for custom-models

Users that are interested in custom-models are comparing it to the libraries listed below

• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated 11 months ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆78Updated 8 months ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• transferwise / wise-pizza
  A library to find and visualise the most interesting slices in multidimensional data
  ☆111Updated 9 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 3 months ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆43Updated 4 years ago
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆236Updated 2 years ago
• datarobot-community / pe-clustering-python
  Prediction Explanations Clustering
  ☆10Updated 2 years ago
• solegalli / feature_engine
  Feature engineering package with sklearn like functionality
  ☆56Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆64Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆72Updated 7 months ago
• upgini / upgini
  Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…
  ☆350Updated last month
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆18Updated last year
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 4 years ago
• ThomasRobertFr / ml-project-structure
  Basic structure for machine learning projects
  ☆54Updated 8 years ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• ttzt / catalog_of_requirements_for_ai_products
  The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…
  ☆133Updated 4 years ago
• oracle / macest
  Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores
  ☆100Updated 3 months ago
• chiachong / medium-search-app
  A simple search engine to search medium stories built with streamlit and elasticsearch.
  ☆40Updated 3 years ago