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accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

atk

analytics tool kit

benchmarks

Benchmark code

daal-tk

daal-tk-1

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

draft

A tool for developers to create cloud-native applications on Kubernetes.

examples

A repository to host extended examples and tutorials

experimental-kvc

Kubernetes Volume Controller

experiments

Experiments API for Experiment Tracking on Kubernetes

gitflow-poc

POC for testing the Git Flow process

helm

The Kubernetes Package Manager

intel-extension-for-pytorch

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

kubeflow

Machine Learning Toolkit for Kubernetes

lpot

Intel Low Precision Optimization Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.

mlt

ML Container toolkit

mlt-1

ML Container Templates

mlt-draft-packs

MLT template draft packs

models

Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors

ngraph

nGraph - open source C++ library, compiler and runtime for Deep Learning

ngraph-bridge

TensorFlow-nGraph bridge

optimum-habana

Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)

optimum-intel

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

pipelines

Machine Learning Pipelines for Kubeflow

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

question-answering

TensorFlow implementation of Match-LSTM and Answer pointer for the popular SQuAD dataset.

scoring-engine-1

serving

A flexible, high-performance serving system for machine learning models

spark

Mirror of Apache Spark

spark-timeseries

A library for time series analysis on Apache Spark