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Intel® Neural Compressor TensorFlow* Getting Started Sample readme update (oneapi-src#1490)
* 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 --------- 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]> * Intel® Neural Compressor TensorFlow Getting Started Sample readme update Updates --------- 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]>
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