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2024.0 bug fixes (#2080)
* Update README.md Updated preset table per UAT recommendations * Updated project files to support 2024.0 builds in Visual Studio (#2067) * Updated Windows samples that contain VS project files to support 2024.0 * Renamed matrix_mul_dpcpp.vcxproj to matrix_mul_sycl.vcxproj * 2024.0 windows fixes (#2076) * Updated Windows samples that contain VS project files to support 2024.0 * Renamed matrix_mul_dpcpp.vcxproj to matrix_mul_sycl.vcxproj * Updated AdditionalIncludeDirectories in VS project files to support both oneapi-vars and setvars.bat * Bug fixes (#2078) --------- Co-authored-by: ishaghosh27 <[email protected]>
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‎AI-and-Analytics/Getting-Started-Samples/README.md

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# Getting Started Samples
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|AI Tools preset bundle | Compoment | Folder | Description
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|AI Tools preset | Component | Folder | Description
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|--------------------------| --------- | ------------------------------------------------ | -
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|Deep Learning| Intel® Neural Compressor | [INC-Sample-for-PyTorch](INC-Quantization-Sample-for-PyTorch) | Performs INT8 quantization on a Hugging Face BERT model.
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|Deep Learning| Intel® Neural Compressor | [INC-Sample-for-Tensorflow](INC-Sample-for-Tensorflow) | Quantizes a FP32 model into INT8 by Intel® Neural Compressor and compares the performance between FP32 and INT8.
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|Deep Learning | oneAPI docker image | [IntelAIKitContainer_GettingStarted](IntelAIKitContainer_GettingStarted) | Configuration script to automatically configure the environment.
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|Data Analytics | Modin | [IntelModin_GettingStarted](IntelModin_GettingStarted) | Run Modin-accelerated Pandas functions and note the performance gain.
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|Data Analytics | Modin |[IntelModin_Vs_Pandas](IntelModin_Vs_Pandas)| Compares the performance of Intel® Distribution of Modin* and the performance of Pandas.
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|Inference Optimization| Intel® Neural Compressor | [INC-Sample-for-PyTorch](INC-Quantization-Sample-for-PyTorch) | Performs INT8 quantization on a Hugging Face BERT model.
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|Inference Optimization| Intel® Neural Compressor | [INC-Sample-for-Tensorflow](INC-Sample-for-Tensorflow) | Quantizes a FP32 model into INT8 by Intel® Neural Compressor and compares the performance between FP32 and INT8.
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|Data Analytics <br/> Classical Machine Learning <br/> Deep Learning <br/> Inference Optimization | oneAPI docker image | [IntelAIKitContainer_GettingStarted](IntelAIKitContainer_GettingStarted) | Configuration script to automatically configure the environment.
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|Data Analytics <br/> Classical Machine Learning | Modin | [IntelModin_GettingStarted](IntelModin_GettingStarted) | Run Modin-accelerated Pandas functions and note the performance gain.
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|Data Analytics <br/> Classical Machine Learning | Modin |[IntelModin_Vs_Pandas](IntelModin_Vs_Pandas)| Compares the performance of Intel® Distribution of Modin* and the performance of Pandas.
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|Classical Machine Learning| Intel® Optimization for XGBoost* | [IntelPython_XGBoost_GettingStarted](IntelPython_XGBoost_GettingStarted) | Set up and trains an XGBoost* model on datasets for prediction.
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|Classical Machine Learning| daal4py | [IntelPython_daal4py_GettingStarted](IntelPython_daal4py_GettingStarted) | Batch linear regression using the Python API package daal4py from oneAPI Data Analytics Library (oneDAL).
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|Deep Learning| Intel® Optimization for TensorFlow* | [IntelTensorFlow_GettingStarted](IntelTensorFlow_GettingStarted) | A simple training example for TensorFlow.
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|Deep Learning|Intel® Extension of PyTorch | [IntelPyTorch_GettingStarted](Intel_Extension_For_PyTorch_GettingStarted) | A simple training example for Intel® Extension of PyTorch.
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|Deep Learning <br/> Inference Optimization| Intel® Optimization for TensorFlow* | [IntelTensorFlow_GettingStarted](IntelTensorFlow_GettingStarted) | A simple training example for TensorFlow.
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|Deep Learning <br/> Inference Optimization |Intel® Extension of PyTorch | [IntelPyTorch_GettingStarted](Intel_Extension_For_PyTorch_GettingStarted) | A simple training example for Intel® Extension of PyTorch.
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|Classical Machine Learning| Scikit-learn (OneDAL) | [Intel_Extension_For_SKLearn_GettingStarted](Intel_Extension_For_SKLearn_GettingStarted) | Speed up a scikit-learn application using Intel oneDAL.
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|Deep Learning|Intel® Extension of TensorFlow | [Intel® Extension For TensorFlow GettingStarted](Intel_Extension_For_TensorFlow_GettingStarted) | Guides users how to run a TensorFlow inference workload on both GPU and CPU.
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|Deep Learning|oneCCL Bindings for PyTorch | [Intel oneCCL Bindings For PyTorch GettingStarted](Intel_oneCCL_Bindings_For_PyTorch_GettingStarted) | Guides users through the process of running a simple PyTorch* distributed workload on both GPU and CPU. |
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|Deep Learning <br/> Inference Optimization |Intel® Extension of TensorFlow | [Intel® Extension For TensorFlow GettingStarted](Intel_Extension_For_TensorFlow_GettingStarted) | Guides users how to run a TensorFlow inference workload on both GPU and CPU.
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|Deep Learning <br/> Inference Optimization |oneCCL Bindings for PyTorch | [Intel oneCCL Bindings For PyTorch GettingStarted](Intel_oneCCL_Bindings_For_PyTorch_GettingStarted) | Guides users through the process of running a simple PyTorch* distributed workload on both GPU and CPU. |
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*Other names and brands may be claimed as the property of others. [Trademarks](https://www.intel.com/content/www/us/en/legal/trademarks.html)

‎DirectProgramming/C++SYCL/CombinationalLogic/mandelbrot/mandelbrot.vcxproj

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‎DirectProgramming/C++SYCL/CombinationalLogic/sepia-filter/sepia-filter.vcxproj

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‎DirectProgramming/C++SYCL/DenseLinearAlgebra/complex_mult/complex_mult.vcxproj

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‎DirectProgramming/C++SYCL/DenseLinearAlgebra/matrix_mul/matrix_mul_dpcpp.vcxproj renamed to ‎DirectProgramming/C++SYCL/DenseLinearAlgebra/matrix_mul/matrix_mul_sycl.vcxproj

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‎DirectProgramming/C++SYCL/GraphAlgorithms/all-pairs-shortest-paths/all-pairs-shortest-paths.vcxproj

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‎DirectProgramming/C++SYCL/GraphTraversal/bitonic-sort/bitonic-sort.vcxproj

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‎DirectProgramming/C++SYCL/GraphTraversal/hidden-markov-models/hidden-markov-models.vcxproj

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‎DirectProgramming/C++SYCL/Jupyter/oneapi-essentials-training/07_oneDPL_Library/gamma-correction/gamma-correction.vcxproj

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<PlatformToolset>Intel(R) oneAPI DPC++ Compiler</PlatformToolset>
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<PlatformToolset>Intel(R) oneAPI DPC++ Compiler 2024</PlatformToolset>
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‎DirectProgramming/C++SYCL/MapReduce/MonteCarloPi/MonteCarloPi.vcxproj

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<AdditionalIncludeDirectories>$(ONEAPI_ROOT)\include\;$(ONEAPI_ROOT)\dev-utilities\latest\include\</AdditionalIncludeDirectories>
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<SYCLOptimization>MaxSpeed</SYCLOptimization>
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