frameworks-getting-started
This written tutorial will show you how to setup and use the tools and best practices developed by the frameworks team. These best practices were inspired and developed from this framework example.
Example Projects
In addition to this tutorial two other github repositories can be used for refrence. These both include scale implementations of the frameworks toolkit.
- Natural Language Processing on FAA Data -> This repo contains a full knoweledge extraction pipeline from data collection to model training and inference using the tools and best practices detailed below.
- Computer Vision analysis on Facial Recongition -> This repo contains analysis on GradCAM output and emphasizes our way of experimentation.
Recommended Tools
PDM
PDM, as described, is a modern Python package and dependency manager supporting the latest PEP standards. But it is more than a package manager. It boosts your development workflow in various aspects. The most significant benefit is it installs and manages packages in a similar way to npm that doesn’t need to create a virtualenv at all!
nbdev
Create delightful software with Jupyter Notebooks. Write, test, document, and distribute software packages and technical articles — all in one place, your notebook.
DVC
DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.