gasparian / ml-serving-templateLinks
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
☆16Updated 4 years ago
Alternatives and similar repositories for ml-serving-template
Users that are interested in ml-serving-template are comparing it to the libraries listed below
Sorting:
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- Toolkit for developing and maintaining ML models☆154Updated last year
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆106Updated 4 years ago
- Deploying PyTorch Model to Production with FastAPI in CUDA-supported Docker☆105Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- ClearML - Model-Serving Orchestration and Repository Solution☆159Updated 3 weeks ago
- Metadata store for Production ML☆88Updated 3 years ago
- Python Automated Machine Learning library for tabular data.☆48Updated 3 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Dataset registry DVC project☆84Updated last year
- Katana project is a FastAPI template for ASAP 🚀 ML API deployment☆113Updated last year
- Deploy and scale machine learning models with FastAPI, Redis and Docker☆151Updated 3 years ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆80Updated 3 years ago
- BentoML Example Projects 🎨☆141Updated 11 months ago
- 🎛 Distributed machine learning made simple.☆49Updated 2 years ago
- Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊☆79Updated last year
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆231Updated 2 months ago
- A list of projects relying on Iterative.AI tools to achieve awesomeness☆68Updated last year
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated 2 months ago
- Management Dashboard for Torchserve☆125Updated 2 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
- Dvc + Streamlit = ❤️☆40Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆72Updated 4 months ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- NeatText a simple NLP package for cleaning textual data and text preprocessing☆73Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- MLOps Python Library☆120Updated 3 years ago