graphcore

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

Example code and applications for machine learning on Graphcore IPUs

PyTorch interface for the IPU

Blazing fast training of 🤗 Transformers on Graphcore IPUs

TensorFlow for the IPU

PySCF on IPU

IPU programming in Julia

JAX for Graphcore IPU (experimental)

TessellateIPU: low level Poplar tile programming from Python

AI Accelerators-SC24-tutorial Repository

Poplar Advanced Runtime for the IPU

Code for CoNLL BabyLM workshop Mini Minds: Exploring Bebeshka and Zlata Baby Models

Track reconstruction on the Graphcore IPU.

Poplar implementation of FlashAttention for IPU

A PyTorch library for Knowledge Graph Embedding on Graphcore IPUs implementing the distribution framework BESS

Code associated with my master thesis at the University of Bergen

An implementation of the Search by Triplet track reconstruction algorithm on the Graphcore IPU.

This repository has some basic installation steps to the Poplar SDK on a Graphcore IPU. In future, I plan to implement and add some basic codes for Parallel Computing Algorithms