IntelAI/forking-tuner

This repository has been archived on 04/Jan/2023
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Apache License 2.0
Created over 4 years ago
Updated almost 2 years ago

IntelAI/forking-tuner

IntelAI

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A forking tuner for the TensorFlow threading configuration.

models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs

nauta

A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems

unet

U-Net Biomedical Image Segmentation

Jupyter Notebook

cerl

vck

Volume Controller for Kubernetes

tools

inference-model-manager

Inference Model Manager for Kubernetes

intel-xai-tools

Explainable AI Tooling (XAI). XAI is used to discover and explain a model's prediction in a way that is interpretable to the user. Relevant information in the dataset, feature-set, and model's algorithms are exposed.

experiments

Experiments API for Experiment Tracking on Kubernetes

nodus

Simulated large clusters for Kubernetes scheduler validation.

openseismic

Open Seismic is an open-source toolbox for conducting inference on seismic data. We use OpenVINO while inference.

nnpi-card

GPL bases sources for Intel NNP-I card

azure-applications

A pre-configured Azure Data Science Virtual Machine with CPU-optimized Deep Learning Frameworks.

aws-sagemaker-marketplace

This repo contain example notebooks with instructions on using Intel AI Software listed in AWS SageMaker Marketplace.

Jupyter Notebook

aikit-operator

AIKit Operator used to install ImageStream in the cluster for jupyterhub notebooks within the Redhat OpenShift Environments

nauta-zoo

This repository contains pack's templates used by the Nauta (https://github.com/IntelAI/nauta) system.