krai Goto Github PK
Name: KRAI
Type: Organization
Bio: Gen AI. Solved
Twitter: krai4ai
Location: Cambridge, UK
Blog: http://krai.ai
Name: KRAI
Type: Organization
Bio: Gen AI. Solved
Twitter: krai4ai
Location: Cambridge, UK
Blog: http://krai.ai
KRAI X workflow automation system
Automated KRAI X workflows for Google Cloud Platform
Automated KRAI X workflows for KILT (KRAI Inference Library Technology)
axs repository for KILT
Automated KRAI X workflows for reproducing MLPerf Inference submissions
Automated KRAI X workflows for reproducing MLPerf Inference submissions on systems equipped with Qualcomm Cloud AI 100 accelerators
Building Docker images for reproducing MLPerf Inference submissions with Qualcomm Cloud AI 100 accelerators
Automated KRAI X workflows for reproducing MLPerf Inference submissions
Collective Knowledge framework (CK) provides a common set of automation recipes, APIs and meta descriptions to enable collaborative, reproducible and unified benchmarking and optimization of ML Systems across continuously changing models, data sets, software and hardware:
Collective Knowledge workflows for ArmNN
Collective Knowledge workflows for the Coral EdgeTPU accelerator
CK repository with components and automation actions to enable portable workflows across diverse platforms including Linux, Windows, MacOS and Android. It includes software detection plugins and meta packages (code, data sets, models, scripts, etc) with the possibility of multiple versions to co-exist in a user or system environment:
Collective Knowledge packages for various mathematical libs to be plugged into portable and customizable CK research workflows:
Automated workflows for MLPerf, the industry-leading benchmark for evaluating performance of ML software and hardware
CK-NNTest: collaboratively validating, benchmarking and optimizing neural net operators across platforms, frameworks and datasets
CK research workflows for object detection
Collective Knowledge workflows for OpenVINO Toolkit (Deep Learning Deployment Toolkit)
Integration of PyTorch to Collective Knowledge workflow framework to provide unified CK JSON API for AI (customized builds across diverse libraries and hardware, unified AI API, collaborative experiments, performance optimization and model/data set tuning):
Qualcomm Cloud AI (QAIC) implementation of MLPerf Inference benchmarks
Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):
Collective Knowledge repository for NVIDIA's TensorRT
Qualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high throughput and low latency across Computer Vision, Object Detection, Natural Language Processing and Generative AI models.
Reference implementations of inference benchmarks
Issues related to MLPerf™ Inference policies, including rules and suggested changes
This repository contains the results and code for the MLPerf™ Inference v3.1 benchmark.
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