dmsuehir

accelerate

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

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

atk

analytics tool kit

benchmarks

Benchmark code

daal-tk

unet_distributed

Distributed TensorFlow UNet

transformers

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

ai-reference-models

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

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.

transfer-learning

Libraries and tools to support Transfer Learning

dmsuehir/unet_distributed

Distributed TensorFlow UNet

dmsuehir/accelerate

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

dmsuehir/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

dmsuehir/benchmarks

Benchmark code

dmsuehir/draft

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

dmsuehir/examples

A repository to host extended examples and tutorials

dmsuehir/DeepSpeed

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

dmsuehir/experimental-kvc

Kubernetes Volume Controller

dmsuehir/experiments

Experiments API for Experiment Tracking on Kubernetes

dmsuehir/Gaudi-tutorials

Tutorials for running models on First-gen Gaudi and Gaudi2 for Training and Inference. The source files for the tutorials on https://developer.habana.ai/

dmsuehir/GenAIExamples

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

dmsuehir/gitflow-poc

POC for testing the Git Flow process

dmsuehir/helm

The Kubernetes Package Manager

dmsuehir/intel-extension-for-pytorch

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

dmsuehir/kubeflow

Machine Learning Toolkit for Kubernetes

dmsuehir/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.

dmsuehir/mlt

ML Container toolkit

dmsuehir/mlt-1

ML Container Templates

dmsuehir/mlt-draft-packs

MLT template draft packs

dmsuehir/models

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

dmsuehir/ngraph

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

dmsuehir/ngraph-bridge

TensorFlow-nGraph bridge

dmsuehir/optimum-habana

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

dmsuehir/optimum-intel

🤗 Optimum Intel: Accelerate inference with Intel optimization tools

dmsuehir/pipelines

Machine Learning Pipelines for Kubeflow

dmsuehir/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

dmsuehir/tensorflow

Computation using data flow graphs for scalable machine learning

dmsuehir/test

testing, will delete later

dmsuehir/transfer-learning

Libraries and tools to support Transfer Learning

dmsuehir/transformers

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