graphcore/examples

Example code and applications for machine learning on Graphcore IPUs

49
/ 100
Emerging

This project provides pre-optimized code examples for a wide range of popular machine learning models. It helps machine learning engineers and researchers accelerate their work by offering ready-to-run code for training and inference, designed specifically for Graphcore IPU hardware. You input your specific dataset and task, and it outputs a trained model or inference results, leveraging the high performance of IPUs.

333 stars. No commits in the last 6 months.

Use this if you are a machine learning engineer or researcher working with Graphcore IPUs and need optimized, reproducible code for tasks like image classification, natural language processing, speech recognition, or recommender systems.

Not ideal if you are not working with Graphcore IPU hardware or are looking for a general-purpose machine learning library that runs on standard CPUs/GPUs.

deep learning training machine learning inference computer vision natural language processing recommender systems
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

How are scores calculated?

Stars

333

Forks

88

Language

Python

License

MIT

Last pushed

Mar 05, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/graphcore/examples"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.