TensorFlow* Performance Analysis Using Model Zoo for Intel® Architecture readme update #1477
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* Intel Python Numpy Numba_dpes kNN sample (#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 (#1293) * add IntelPytorch Quantization code samples (#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 (#1317) * [New Sample] Intel Extension for TensorFlow Getting Started (#1313) * first draft * Update README.md * remove redunant file * [New Sample] [oneDNN] Benchdnn tutorial (#1315) * New Sample: benchDNN tutorial * Update readme: new sample * Rename sample to benchdnn_tutorial * Name fix * Add files via upload (#1320) * [New Sample] oneCCL Bindings for PyTorch Getting Started (#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 (#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 (#1327) * add arch checker class (#1332) * change gpu.patch to convert the code samples from cpu to gpu correctly (#1334) * Fixes for spelling in AMX bfloat16 transformer sample and printing error in python code in numpy vs numba sample (#1335) * 2023.1 ai kit itex get started example fix (#1338) * Fix the typo * Update ResNet50_Inference.ipynb * fix resnet inference demo link (#1339) * Fix printing issue in numpy vs numba AI sample (#1356) * Fix Invalid Kmeans parameters on oneAPI 2023 (#1345) * Update README to add new samples into the list (#1366) * PyTorch AMX BF16 Training sample: remove graphs and performance numbers (#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 --------- 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]>
…ure 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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Existing Sample Changes
Description
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.
Fixes Issue#
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