graphcore/distributed-kge-poplar

Stars
13
Rank 1,512,713 (Top 30 %)
Language
C++
License
MIT License
Created almost 2 years ago
Updated 8 months ago

graphcore/distributed-kge-poplar

graphcore

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

The application is a end-user training and evaluation system for standard knowledge graph embedding models. It was developed to optimise the WikiKG90Mv2 dataset

examples

Example code and applications for machine learning on Graphcore IPUs

poptorch

PyTorch interface for the IPU

poplibs

Poplar libraries

tutorials

Training material for IPU users: tutorials, feature examples, simple applications

tensorflow

TensorFlow for the IPU

ogb-lsc-pcqm4mv2

The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured data

Jupyter Notebook

portfolio-examples

Demonstrators and experimental applications for ML using Graphcore IPUs

poprithms

Graph algorithms for machine learning frameworks

graphcore-research

Implementations and illustrative code to accompany our research publications

gpt-j

Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.

pytorch-lightning-examples

A collection of tutorials and examples showing how to use Graphcore's IPUs with PyTorch Lightning

Gradient-HuggingFace

Tasks and tutorials using Graphore's IPU with Hugging Face. Originally at https://github.com/gradient-ai/Graphcore-HuggingFace

Jupyter Notebook

PopTransformer

PopTransformer provides a fundamental framework(including layers, operators, models, etc) that allow users to develop and run highly optimized transformer-based models(inference-only) with Poplar SDK on Graphcore IPU.

legacy_drivers_and_tools

PopRT

Gradient-Pytorch-Geometric

A repository of tutorials and examples demonstrating use of PyTorch Geometric with IPUs

Jupyter Notebook

popart

Poplar Advanced Runtime for the IPU

popvision_graph_analyser

license-checker

A tool to accumulate license information for pip and aptitude dependencies.

demo-in-a-box

Jupyter Notebook

popvision_system_analyser

dolly-ai

Run Dolly, the world’s first truly open instruction-tuned LLM, with your own prompts on IPUs

api-deployment

Example of deployment of a NLP inference server on Gcore. Using FastAPI, Huggingface's optimum-graphcore and Github workflows.

simple-server-framework

Simple Server Framework provides a wrapper to add serving to an application using a minimal declarative config and utilities to package and deploy the application.

whisper-ai

Speech Recognition (ASR) on Graphcore IPUs using OpenAI's Whisper

Jupyter Notebook

caas-poplar-appliance

caas-poplar-appliance

graphcore-cloud-tools

Graphcore cloud utilities to support Paperspace functionality and user monitoring.

helm-charts

ipu_tensorflow_addons

IPU TensorFlow Addons

flan-t5

Notebook for Flan-T5 – an alternative to large language models like GPT-3 & GPT-4 for NLP tasks like named entity recognition and text generation.

Jupyter Notebook

keras

Keras for the IPU

popxl-addons

A collection of addons for PopXL

tgn-ipu

stable-diffusion

Notebook for running Stable Diffusion – the Generative AI alternative to Dall-E and Midjourney – on IPUs

Jupyter Notebook

examples-utils

Utils and common code for Graphcore's example applications

ipu_assembly_support

Visual Studio Code extension to support writing IPU assembly.

Gradient-Pytorch

Jupyter Notebook