anyscale / Made-With-MLLinks
☆27Updated 2 years ago
Alternatives and similar repositories for Made-With-ML
Users that are interested in Made-With-ML are comparing it to the libraries listed below
Sorting:
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- Fine-tuning LLMs on Flyte and Union Cloud☆29Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆241Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆73Updated 4 months ago
- Introduction to Ray Core Design Patterns and APIs.☆74Updated last year
- ☆89Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- Scaling Python Machine Learning☆52Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Listens MLFlow model registry changes and deploy models based on configurations☆20Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.☆471Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- Dataset registry DVC project☆85Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 3 years ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆81Updated 3 years ago
- End to End example integrating MLFlow and Seldon Core☆52Updated 5 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- ☆28Updated last month
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆83Updated last year
- Code samples for the Effective Data Science Infrastructure book☆116Updated 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…☆398Updated 11 months ago
- An introductory tutorial about leveraging Ray core features for distributed patterns.☆79Updated 2 years ago
- Deploy production-grade Metaflow cloud infrastructure on AWS☆70Updated 2 weeks ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆93Updated 3 years ago
- Distributed XGBoost on Ray☆152Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆90Updated 3 years ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆221Updated 3 years ago
- Slides and recordings of talks hosted by our community☆21Updated last year