TensorFlow* Performance Analysis Using Model Zoo for Intel® Architecture readme update (oneapi-src#1477)

* Fixes for 2023.1 AI Kit  (oneapi-src#1409)

* Intel Python Numpy Numba_dpes kNN sample (oneapi-src#1292)

* *.py and *.ipynb files with implementation
* README.md and sample.json files with documentation
* License and thir party programs

* Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample (oneapi-src#1293)

* add IntelPytorch Quantization code samples (oneapi-src#1301)

* add IntelPytorch Quantization code samples

* fix the spelling error in the README file

* use john's README with grammar fix and title change

* Rename third-party-grograms.txt to third-party-programs.txt

Co-authored-by: Jimmy Wei <[email protected]>

* AMX bfloat16 mixed precision learning TensorFlow Transformer sample (oneapi-src#1317)

* [New Sample] Intel Extension for TensorFlow Getting Started (oneapi-src#1313)

* first draft

* Update README.md

* remove redunant file

* [New Sample] [oneDNN] Benchdnn tutorial  (oneapi-src#1315)

* New Sample: benchDNN tutorial

* Update readme: new sample

* Rename sample to benchdnn_tutorial

* Name fix

* Add files via upload (oneapi-src#1320)

* [New Sample] oneCCL Bindings for PyTorch Getting Started (oneapi-src#1316)

* Update README.md

* [New Sample] oneCCL Bindings for PyTorch Getting Started

* Update README.md

* add torch-ccl version check

* [New Sample] Intel Extension for PyTorch Getting Started (oneapi-src#1314)

* add new ipex GSG notebook for dGPU

* Update sample.json

for expertise field

* Update requirements.txt

Update package versions to comply with Snyk  tool

* Updated title field in sample.json in TF Transformer AMX bfloat16 Mixed Precision sample to fit within character length range (oneapi-src#1327)

* add arch checker class (oneapi-src#1332)

* change gpu.patch to convert the code samples from cpu to gpu correctly (oneapi-src#1334)

* Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (oneapi-src#1335)

* 2023.1 ai kit itex get started example fix (oneapi-src#1338)

* Fix the typo

* Update ResNet50_Inference.ipynb

* fix resnet inference demo link (oneapi-src#1339)

* Fix printing issue in numpy vs numba AI sample (oneapi-src#1356)

* Fix Invalid Kmeans parameters on oneAPI 2023 (oneapi-src#1345)

* Update README to add new samples into the list (oneapi-src#1366)

* PyTorch AMX BF16 Training sample: remove graphs and performance numbers (oneapi-src#1408)

* Adding PyTorch Training Optimizations with AMX BF16 oneAPI sample

* remove performance graphs, update README

* remove graphs from README and folder

* update top README in Features and Functionality

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Co-authored-by: krzeszew <[email protected]>
Co-authored-by: alexsin368 <[email protected]>
Co-authored-by: ZhaoqiongZ <[email protected]>
Co-authored-by: Louie Tsai <[email protected]>
Co-authored-by: Orel Yehuda <[email protected]>
Co-authored-by: yuning <[email protected]>
Co-authored-by: Wang, Kai Lawrence <[email protected]>
Co-authored-by: xiguiw <[email protected]>

* TensorFlow* Performance Analysis Using Model Zoo for Intel® Architecture readme update

Restructured to match new template. Corrected lots of formatting issues. Restructured and rewrote for clarity. Updated branding based on current guidelines. Removed on unnecessary image.

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Co-authored-by: Jimmy Wei <[email protected]>
Co-authored-by: krzeszew <[email protected]>
Co-authored-by: alexsin368 <[email protected]>
Co-authored-by: ZhaoqiongZ <[email protected]>
Co-authored-by: Louie Tsai <[email protected]>
Co-authored-by: Orel Yehuda <[email protected]>
Co-authored-by: yuning <[email protected]>
Co-authored-by: Wang, Kai Lawrence <[email protected]>
Co-authored-by: xiguiw <[email protected]>

Author: 10 people