Generic template to bootstrap your PyTorch project.

Google Drive API Python wrapper library. Maintained fork of PyDrive.

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

🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.

All the available resources to master MLOPS from scratch

Digital Image Correlation & Digital Volume Correlation Library

Machine learning experiment tracking and data versioning with DVC extension for VS Code

Get started DVC project (NLP, random forest)

📈 Log and track ML metrics, parameters, models with Git and/or DVC

DagsHub client libraries

Dataset registry DVC project

A list of projects relying on Iterative.AI tools to achieve awesomeness

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.

Get started DVC project

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

[CVPR 2024] Do you remember? Dense Video Captioning with Cross-Modal Memory Retrieval

Awesome MLOps Course Outline

Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance