modzy / model-deployment-checklistLinks
An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.
☆30Updated 2 years ago
Alternatives and similar repositories for model-deployment-checklist
Users that are interested in model-deployment-checklist are comparing it to the libraries listed below
Sorting:
- A repository that showcases how you can use ZenML with Git☆71Updated 3 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Framework for building and maintaining self-updating prompts for LLMs☆64Updated last year
- Command Line Interface for Hugging Face Inference Endpoints☆66Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Drift detection module for machine learning pipelines.☆22Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆150Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- ☆16Updated 3 years ago
- Build fast gradio demos of fastai learners☆35Updated 4 years ago
- Examples of using Evidently to evaluate, test and monitor ML models.☆41Updated last month
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- ☆30Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 9 months ago
- 🤗 Collection of examples on how to train, deploy and monitor HuggingFace models in Google Cloud Vertex AI☆21Updated last year
- The fastai book, 2nd edition (in progress)☆57Updated last year
- ☆66Updated 6 months ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago
- Gzip and nearest neighbors for text classification☆57Updated 2 years ago
- ☆15Updated 2 years ago
- Demo bear classifier with fastai and Voila☆39Updated 2 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆106Updated 4 years ago
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.☆30Updated 3 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆118Updated last year
- Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products☆95Updated 2 years ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆80Updated 3 years ago