Generic template to bootstrap your PyTorch project.
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Updated
May 11, 2023 - Python
Generic template to bootstrap your PyTorch project.
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
Machine learning experiment tracking and data versioning with DVC extension for VS Code
Get started DVC project
An open source C++ library for development of digital image correlation and digital volume correlation
DagsHub client libraries
Dataset registry DVC project
This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app.
Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
Benchmarks for DVC
Training materials for setting up and using a research infrastructure based on Jupyter notebooks: https://cusy.io/en/seminars
Add a description, image, and links to the dvc topic page so that developers can more easily learn about it.
To associate your repository with the dvc topic, visit your repo's landing page and select "manage topics."