Popular GitHub Repositories for Packaging

An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.

The simplest way to serve AI/ML models in production

This is a tracking repo for all our AI projects. ? ??

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

GitHub Action to set up pixi :octocat: ?

A production-ready PySpark project template with medallion architecture, Python packaging, unit tests, integration tests, CI/CD automation, Databricks Asset Bundles, and DQX data quality framework.

Kakapo (KAH-k?-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD library of outlier detection algorithms with MLFlow for tracking and packaging of models and hyperopt for exploring vast, complex and heterogeneous search spaces.

This package is EasyOCR-based optical character recognition. Unlike EasyOCR, the package uses a pre-saved with onnx language models, so it doesn't need a 1-2 Gb pytorch dependency. This is particularly useful for developing and packaging light-weight applications that utilize text recognition.

Fast Tensors Packaging library for text, image, video, and audio data compatible with PyTorch, TensorFlow, & NumPy ???? ?? ?

Build a production-grade machine learning application involving tox, circle-CI, Docker, and testing

我们想念它*，但是现在我们可以使用$(BuildNum)了

Web app that rates the healthiness of ingredients on food packaging to make informed and healthy grocery shopping convenient using Computer Vision and NLP.

Personal voice command interface for iPhone on pythonista powered by Whisper and ChatGPT.

Created an AI-based web app that performs analytics on customer feedback for their signature products. To accomplish this requirement, I created an Emotion Detection system that processes feedback provided by the customer in text format and deciphers the associated emotion expressed.

AI Message Labels: Packaging and pipelines for deep learning text classification models

A file format for packaging, transporting and exchanging prompts across GPT models.

Example solution to the MLOps Case Study covering both online and batch processing.

IX-py simplifies Python project management by providing true environment isolation without the need for virtualenv or conda. With automatic lockfile generation and a single CLI tool, developers can easily manage dependencies and avoid conflicts. ??

Machine Learning Project which uses DVC for Data versioning, MLFlow for Experiment Tracking, ONNX & Docker file for packaging, Flask for API.