intel/AI-PC-Samples
Oct 2024 – Nov 2024
2 Months active
Languages Used
Jupyter NotebookPythonBashMarkdownPowerShellShell
Technical Skills
AI UpscalingBSRGANImage ProcessingIntel AI BoostModel CompilationModel Conversion
Gururaj Deshpande
PROFILE
Gururaj Deshpande
Contributed to the intel/AI-PC-Samples repository by developing an end-to-end AI upscaling sample that demonstrates image and video enhancement using Intel NPU acceleration with OpenVINO. The work involved model conversion, NPU compilation, and visualization to highlight performance gains over CPU, providing a reusable template for hardware evaluation. In addition, focused on improving reliability and maintainability through CI/CD enhancements, code formatting, and licensing updates. Expanded environment setup options with Conda and Pixi, strengthened deployment reproducibility, and improved error handling in installation scripts. Utilized Python, Bash, and shell scripting to deliver robust, cross-platform workflows supporting both Linux and Windows environments.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
6
Lines of code
13,788
Activity Months2
Your Network
2122 peopleSame Organization
@intel.com2109
Work History
November 2024
11 Commits • 5 Features
Nov 1, 2024November 2024 monthly summary for intel/AI-PC-Samples. This period focused on reliability, maintainability, and deployment reproducibility across the AI-PC-Samples workflow. The team delivered code quality enhancements, licensing and organization improvements, and a strengthened deployment workflow, while expanding environment setup options and hardening runtime checks. Business impact includes reduced CI failures, clearer project structure, and more reproducible, cross-platform deployments that accelerate onboarding and reduce support overhead.
11 Commits • 5 Features
Nov 1, 2024November 2024 monthly summary for intel/AI-PC-Samples. This period focused on reliability, maintainability, and deployment reproducibility across the AI-PC-Samples workflow. The team delivered code quality enhancements, licensing and organization improvements, and a strengthened deployment workflow, while expanding environment setup options and hardening runtime checks. Business impact includes reduced CI failures, clearer project structure, and more reproducible, cross-platform deployments that accelerate onboarding and reduce support overhead.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024: Delivered a new AI Upscaling sample for the Intel AI-PC-Samples repository, showcasing AI upscaling on images and videos using an Intel NPU with OpenVINO. The work covers model conversion, NPU compilation, and visualization of results to demonstrate performance benefits over CPU. This provides a practical, end-to-end demonstration of hardware-accelerated upscaling and a reusable template for evaluating OpenVINO/NPU performance on Intel hardware.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024: Delivered a new AI Upscaling sample for the Intel AI-PC-Samples repository, showcasing AI upscaling on images and videos using an Intel NPU with OpenVINO. The work covers model conversion, NPU compilation, and visualization of results to demonstrate performance benefits over CPU. This provides a practical, end-to-end demonstration of hardware-accelerated upscaling and a reusable template for evaluating OpenVINO/NPU performance on Intel hardware.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture85.0%
Performance83.4%
AI Usage23.4%
Skills & Technologies
Programming Languages
BashJupyter NotebookMarkdownPowerShellPythonShell
Technical Skills
AI UpscalingBSRGANCI/CDCode FormattingCode LicensingConfiguration ManagementDevOpsDocumentationEnvironment ManagementEnvironment Variable ManagementFile ManagementImage ProcessingIntel AI BoostLinuxModel Compilation
Repositories Contributed To
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