Lists (1)
Stars
A project to show how Flyte/UnioniAI, Xarray, Dask, GDAL, Zarr can be used to build large datasets.
Understanding Deep Learning - Simon J.D. Prince
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
A Kubernetes operator to register Flyte workflows using GitOps
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Robust and ready-to-use tasks and workflows for a variety of bioinformatics pipelines. Use Flyte and Union to orchestrate anything from variant calling to protein folding!
A collection of example workflows that run on Union
Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
Using Kubernetes Service Accounts for Google Workload Identity Federation
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A set of IaC artifacts to automatically configure the infrastructure resources needed by a Flyte deployment
😎 A curated list of awesome MLOps tools
Install and setup flytectl for use in other actions
Notebooks and code for the book "Introduction to Machine Learning with Python"
Practical guide to build end-to-end machine learning pipeline and deploy your model in production,
Project for the Bio X AI Hackathon. All about resurrecting old abandonware repos, and reducing the effort to get them up and running again.
Distributed query engine providing simple and reliable data processing for any modality and scale
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
An end-to-end implementation of intent prediction with Metaflow and other cool tools
Code samples for the book "Terraform: Up & Running" by Yevgeniy Brikman
A repo of Flyte-related conference talks