Alternatives and similar repositories for MiniAutoML

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

• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆53Updated 2 years ago
• dpleus / mlops
  A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit
  ☆97Updated 3 years ago
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆74Updated 2 years ago
• data-max-hq / ab-testing-in-ml
  Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.
  ☆40Updated last year
• IMJONEZZ / LLMs-in-Production
  The repo associated with the Manning Publication
  ☆129Updated 10 months ago
• PacktPublishing / The-Deep-Learning-Architect-Handbook
  The Deep Learning Architect’s Handbook, published by Packt
  ☆36Updated last month
• PacktPublishing / Machine-Learning-on-Kubernetes
  Machine Learning on Kubernetes, published by packt
  ☆81Updated last month
• datamllab / automl-in-action-notebooks
  Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
  ☆99Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆135Updated 4 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• PacktPublishing / Accelerate-Model-Training-with-PyTorch-2.X
  Accelerate Model Training with PyTorch 2.X, published by Packt
  ☆51Updated last month
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆190Updated last month
• BBischof / ESRecsys
  Effective and Scalable Recommendation Systems
  ☆61Updated last year
• terrytangyuan / distributed-ml-patterns
  Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
  ☆489Updated 3 weeks ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆163Updated last month
• PacktPublishing / Debugging-Machine-Learning-Models-with-Python
  Debugging Machine Learning Models with Python, published by Packt
  ☆61Updated last month
• PacktPublishing / Pretrain-Vision-and-Large-Language-Models-in-Python
  Pretrain Vision and Large Language Models in Python, Published by Packt
  ☆88Updated 2 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆59Updated 3 years ago
• adipolak / ml-with-apache-spark
  A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…
  ☆87Updated 2 years ago
• mymlops / airflow-mlflow
  MLOps stack example using Airflow, MLflow and other popular tools.
  ☆45Updated 3 years ago
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆122Updated last month
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆50Updated last year
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• thejat / mlops-notebooks
  ☆66Updated 9 months ago
• intro-to-ml-with-kubeflow / intro-to-ml-with-kubeflow-examples
  [WIP] Examples for the Intro to ML with Kubeflow book
  ☆209Updated 3 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆36Updated last month
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆105Updated 2 years ago