Alternatives and similar repositories for pytorch-serving-workshop

Users that are interested in pytorch-serving-workshop 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 8 months ago
• elleobrien / automatic_testing
  ☆21Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆36Updated 3 years ago
• thejat / mlops-notebooks
  ☆66Updated 5 months ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• alvarobartt / tensorflow-serving-streamlit
  TensorFlow Serving + Streamlit!
  ☆24Updated 4 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆36Updated last year
• srivatsan88 / ContinousModelDeploy
  This is code depository for my upcoming session. Will update details post the session
  ☆40Updated 2 years ago
• aliabd / fastgradio
  Build fast gradio demos of fastai learners
  ☆35Updated 4 years ago
• zenml-io / zenml-gitflow
  A repository that showcases how you can use ZenML with Git
  ☆70Updated last month
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• ivan-bilan / Deep-Learning-for-NLP-Tutorials
  Tutorials for using Tensorflow and Keras for NLP
  ☆14Updated 7 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆92Updated 3 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• jacopotagliabue / no-ops-machine-learning
  A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.
  ☆37Updated 4 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated 3 weeks ago
• sicara / dvc-streamlit-example
  Dvc + Streamlit = ❤️
  ☆40Updated last year
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 3 years ago
• singhishita / Interactive-Dashboards-With-Streamlit
  Create Interactive Dashboards With Streamlit in Python
  ☆16Updated 5 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• jacobceles / intro-to-colab-pyspark-emr
  A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …
  ☆20Updated 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
  ☆102Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 3 years ago
• PacktPublishing / Mastering-spaCy
  Mastering spaCy, published by Packt
  ☆135Updated 3 weeks ago
• JohnSnowLabs / visual-nlp-workshop
  Public runnable examples of using John Snow Labs' OCR for Apache Spark.
  ☆93Updated this week
• kuutsav / mlops
  Template for data pipelines, ML workflows, API dev and monitoring
  ☆45Updated last year
• ahmedbesbes / anonymization-api
  How to build and deploy an anonymization API with FastAPI and SpaCy
  ☆71Updated 4 years ago