graphcore

#安卓#⚡️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 ...

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

#计算机科学#Example code and applications for machine learning on Graphcore IPUs

#计算机科学#PyTorch interface for the IPU

#计算机科学#Blazing fast training of 🤗 Transformers on Graphcore IPUs

#计算机科学#TensorFlow for the IPU

PySCF on IPU

IPU programming in Julia

#计算机科学#JAX for Graphcore IPU (experimental)

#计算机科学#TessellateIPU: low level Poplar tile programming from Python

#计算机科学#Poplar Advanced Runtime for the IPU

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

AI Accelerators-SC24-tutorial Repository

Track reconstruction on the Graphcore IPU.

#计算机科学#Poplar implementation of FlashAttention for IPU

#计算机科学#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