Alternatives and similar repositories for ml-powered-applications

Users that are interested in ml-powered-applications are comparing it to the libraries listed below

• Building-ML-Pipelines / building-machine-learning-pipelines
  Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
  ☆596Updated 2 years ago
• mrdbourke / cs329s-ml-deployment-tutorial
  Code and files to go along with CS329s machine learning model deployment tutorial.
  ☆607Updated 2 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆899Updated 3 years ago
• abhishekkrthakur / mlframework
  ☆203Updated last year
• trainindata / deploying-machine-learning-models
  Code for the online course "Deployment of Machine Learning Models"
  ☆849Updated 10 months ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 3 years ago
• noahgift / Python-MLOps-Cookbook
  This is an example of a Containerized Flask Application that can deploy to many target environments including: AWS, GCP and Azure.
  ☆412Updated 6 months ago
• dmatrix / mlflow-workshop-part-1
  Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …
  ☆240Updated 4 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• jonkrohn / DLTFpT
  Deep Learning with TensorFlow, Keras, and PyTorch
  ☆632Updated last year
• chiphuyen / just-pandas-things
  An ongoing list of pandas quirks
  ☆973Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-2021-labs
  Complete deep learning project developed in Full Stack Deep Learning, Spring 2021
  ☆448Updated 3 years ago
• PacktPublishing / Python-Feature-Engineering-Cookbook
  Python Feature Engineering Cookbook, published by Packt
  ☆481Updated 2 years ago
• the-full-stack / fsdl-text-recognizer-project
  Lab materials for the Full Stack Deep Learning Course
  ☆1,211Updated 3 years ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆465Updated 4 years ago
• eugeneyan / ml-design-docs
  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
  ☆612Updated 2 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆269Updated 3 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆572Updated 2 years ago
• jeffheaton / jh-kaggle-util
  Jeff Heaton's Kaggle Utilities
  ☆281Updated 4 years ago
• aapatel09 / handson-unsupervised-learning
  Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
  ☆679Updated last year
• bgweber / DS_Production
  ☆155Updated 4 years ago
• GoogleCloudPlatform / ml-design-patterns
  Source code accompanying O'Reilly book: Machine Learning Design Patterns
  ☆2,007Updated 4 years ago
• davified / clean-code-ml
  Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT
  ☆725Updated 3 years ago
• paiml / practical-mlops-book
  [Book-2021] Practical MLOps O'Reilly Book
  ☆818Updated 6 months ago
• jessicayung / machine-learning-flashcards
  Machine learning flashcards
  ☆221Updated 3 years ago
• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆268Updated 4 years ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆186Updated 2 years ago
• dipanjanS / tensorflow2-crash-course
  A quick crash course in understanding the essentials of TensorFlow 2 and the integrated Keras API
  ☆228Updated 4 years ago
• Kaggle / learntools
  Tools and tests used in Kaggle Learn exercises
  ☆479Updated 2 weeks ago