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IntelAI

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Top repositories

1

models

Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Intel® Data Center GPUs
Python
652
star
2

nauta

A multi-user, distributed computing environment for running DL model training experiments on Intel® Xeon® Scalable processor-based systems
Python
392
star
3

unet

U-Net Biomedical Image Segmentation
Jupyter Notebook
289
star
4

cerl

Python
72
star
5

vck

Volume Controller for Kubernetes
Go
67
star
6

tools

Python
58
star
7

inference-model-manager

Inference Model Manager for Kubernetes
Python
46
star
8

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.
HTML
34
star
9

experiments

Experiments API for Experiment Tracking on Kubernetes
Python
27
star
10

nodus

Simulated large clusters for Kubernetes scheduler validation.
Go
15
star
11

openseismic

Open Seismic is an open-source toolbox for conducting inference on seismic data. We use OpenVINO while inference.
Python
6
star
12

nnpi-card

GPL bases sources for Intel NNP-I card
Makefile
5
star
13

azure-applications

A pre-configured Azure Data Science Virtual Machine with CPU-optimized Deep Learning Frameworks.
Shell
4
star
14

aws-sagemaker-marketplace

This repo contain example notebooks with instructions on using Intel AI Software listed in AWS SageMaker Marketplace.
Jupyter Notebook
2
star
15

aikit-operator

AIKit Operator used to install ImageStream in the cluster for jupyterhub notebooks within the Redhat OpenShift Environments
Makefile
2
star
16

nauta-zoo

This repository contains pack's templates used by the Nauta (https://github.com/IntelAI/nauta) system.
Python
2
star
17

forking-tuner

A forking tuner for the TensorFlow threading configuration.
Python
2
star