⚡️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 training and inference of 🤗 Transformers and 🤗 Diffusers 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

Poplar Advanced Runtime for the IPU

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

Poplar implementation of FlashAttention for IPU

Track reconstruction on the Graphcore 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

AI Accelerators-SC24-tutorial Repository

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