jacopotagliabue / you-dont-need-a-bigger-boatLinks
An end-to-end implementation of intent prediction with Metaflow and other cool tools
☆870Updated 2 years ago
Alternatives and similar repositories for you-dont-need-a-bigger-boat
Users that are interested in you-dont-need-a-bigger-boat are comparing it to the libraries listed below
Sorting:
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 4 months ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆240Updated 2 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- ☆704Updated 3 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆621Updated 2 years ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated 2 years ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆396Updated 8 months ago
- Software Architecture for ML engineers☆413Updated 3 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆393Updated 2 years ago
- CDF SIG MLOps☆628Updated 10 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆442Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 3 years ago
- MLOpsCommunity's reading group for _Practical MLOps_ by Noah Gift and Alfredo Deza☆51Updated 3 years ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆667Updated 7 months ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated 9 months ago
- ML pipeline orchestration and model deployments on Kubernetes.☆434Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavors☆234Updated last year
- Doubt your data, find bad labels.☆514Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in production☆499Updated last week
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆296Updated 11 months ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆729Updated 3 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆187Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated last year
- Data Quality assessment with one line of code☆450Updated last month
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆223Updated this week