Dina Suehiro Jones (dmsuehir)

dmsuehir

Geek Repo

Company:Intel Corporation

Location:Portland, OR

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Organizations
IntelAI

Dina Suehiro Jones's repositories

unet_distributed

Distributed TensorFlow UNet

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accelerate

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

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ai-containers

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise

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benchmarks

Benchmark code

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draft

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

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examples

A repository to host extended examples and tutorials

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DeepSpeed

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

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experimental-kvc

Kubernetes Volume Controller

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experiments

Experiments API for Experiment Tracking on Kubernetes

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gitflow-poc

POC for testing the Git Flow process

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helm

The Kubernetes Package Manager

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intel-extension-for-pytorch

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

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kubeflow

Machine Learning Toolkit for Kubernetes

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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.

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mlt

ML Container toolkit

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mlt-1

ML Container Templates

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mlt-draft-packs

MLT template draft packs

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models

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

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ngraph

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

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ngraph-bridge

TensorFlow-nGraph bridge

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optimum-habana

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

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optimum-intel

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

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pipelines

Machine Learning Pipelines for Kubeflow

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Question-Answering

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

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serving

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

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tensorflow

Computation using data flow graphs for scalable machine learning

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test

testing, will delete later

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transfer-learning

Libraries and tools to support Transfer Learning

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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