Pinned Repositories
apptainer
Apptainer: Application containers for Linux
oss-fuzz
OSS-Fuzz - continuous fuzzing for open source software.
intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
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
azureml-assets
BigDL
Fast, distributed, secure AI for Big Data
intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
Python_projects
Iris Dataset
RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
sramakintel's Repositories
sramakintel/Python_projects
Iris Dataset
sramakintel/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
sramakintel/azureml-assets
sramakintel/BigDL
Fast, distributed, secure AI for Big Data
sramakintel/intel-extension-for-pytorch
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
sramakintel/intel-extension-for-transformers
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
sramakintel/RCAN
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"