msaroufim / ML-devopsLinks
Helper scripts I use to run many experiments in the morning to check at night
☆20Updated 4 years ago
Alternatives and similar repositories for ML-devops
Users that are interested in ML-devops are comparing it to the libraries listed below
Sorting:
- Interview Questions and Answers for Machine Learning Engineer role☆119Updated 3 months ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆113Updated 3 years ago
- Serving PyTorch models with TorchServe☆102Updated 2 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 4 years ago
- Neural networks in pandas☆51Updated 3 years ago
- Code accompanying the "Debugging machine learning in production" talk☆30Updated 3 years ago
- Software Architecture for ML engineers☆411Updated 3 years ago
- This codebase is a starting point to get your Machine Learning project into Production.☆43Updated 4 years ago
- An open-source AutoML Library based on PyTorch☆306Updated last month
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆239Updated 2 years ago
- Automatically upload the model saved as W&B Artifact to Kaggle Dataset.☆23Updated 3 years ago
- Dvc + Streamlit = ❤️☆40Updated last year
- mkdocs + material + cool stuff☆64Updated 3 years ago
- Collection of simple functions reusable across ML projects.☆20Updated 4 years ago
- Quick demo of setting up a deep learning Python environment using conda and pip-tools.☆39Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆148Updated last year
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆264Updated 2 years ago
- ☆32Updated 2 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs☆82Updated last year
- NLP Examples using the 🤗 libraries☆40Updated 4 years ago
- ☆136Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Distributed skorch on Ray Train☆58Updated 2 years ago
- chaii: hindi and tamil question answering☆35Updated 3 years ago
- Open Source Annotation Tools for Computer Vision and NLP tasks☆53Updated 4 years ago
- Machine Learning / Deep Learning Environment. Everywhere. Anywhere.☆51Updated 5 years ago
- A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.☆229Updated last month