curiousily / Reproducible-ML-with-DVC
Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC
☆18Updated last year
Related projects: ⓘ
- ☆10Updated this week
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Slides and notebook for the workshop on serving bert models in production☆24Updated last year
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆62Updated last month
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 2 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated last year
- PyCon Talks 2022 by Antoine Toubhans☆23Updated 2 years ago
- ☆18Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆36Updated 3 years ago
- The project completed for MLops Engineering Lab #1 by Team #1. See our wiki for more info☆16Updated 3 years ago
- Accompanies the uncool MLOps workshop☆26Updated 2 years ago
- Metaflow tutorials for ODSC West 2021☆65Updated 2 years ago
- Repo for work on deep learning for tabular data☆14Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆74Updated 2 years ago
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…☆14Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆51Updated 2 years ago
- This codebase is a starting point to get your Machine Learning project into Production.☆42Updated 3 years ago
- In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits☆104Updated 2 years ago
- Demo on how to use Prefect with Docker☆26Updated 2 years ago
- ☆16Updated this week
- ☆21Updated last year
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated 9 months ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 3 years ago
- ☆17Updated 10 months ago
- ☆16Updated 3 years ago
- A complete end-to-end machine learning portal that covers processes starting from model training to the model predicting results using Fa…☆43Updated 2 years ago
- Articles on machine learning☆62Updated 2 years ago
- A PyTorch only inference wrapper for fastai☆12Updated last year